data and research analyst job description

How to Write a Data Analyst Job Description: Important Skills and Role Responsibilities

Use these job description examples to guide your writing.

The terms may sound similar, but data analysts , data engineers and data scientists are actually very different roles.

Here’s the simplified version: Data analysts are responsible for collecting, cleaning, analyzing and reporting data; meanwhile, data engineers create and maintain architectural systems for collecting, storing, analyzing and managing large quantities of raw data; and finally, data scientists handle data collection, analysis and visualization — and sometimes build things like machine learning models.

To write a stellar job description for data analysts — and attract top candidates — you’ll need to understand their role more specifically. That’s where this guide comes in.

Table of Contents

What Does a Data Analyst Do?

Types of data analyst jobs.

• Data Analyst Skills 

Data Analyst Salary Information

Data analyst job description template.

Access our entire library of templates for your open roles.

Data analysts gather data across a business, analyze it and translate the results into non-technical language for team members of all backgrounds.

Data analysts are typically early in their careers and may be seeking their first job after completing a bachelor’s degree or gaining the equivalent professional experience. Common degrees include statistics, math, computer science, physics, finance, business administration, economics or a related field.

What Is a Data Analyst?

Data analysts may be responsible for building data models to organize important data for different teams across the business and for monitoring and handling data. With large quantities of data comes endless possibilities for mistakes, requiring data analysts to constantly be on the lookout for information that needs cleansing and updating.

In addition to gathering, analyzing and cleansing information, data analysts create business reports for teams and individuals across the business. They also help translate analytics into non-technical insights to help all teams make well-informed decisions based on empirical evidence.

As they progress in their careers, data analysts may continue their education and become data engineers and eventually data scientists.

There are many different careers and jobs that data analysts can hold. Some of the most common fields for data analysts to work in include healthcare, big data , market research, operations and intelligence. 

Let’s take a closer look at a few different types of data analyst jobs and what they do. 

1. Business Intelligence Analyst

The primary job of a business intelligence analyst is to extract valuable insights from company data. Someone in this role should be comfortable with SQL, analyzing data, as well as creating data models.

2. Marketing Analyst 

Marketing analysts help their team track the success of campaigns by using Google Analytics, custom reporting tools or other traffic analytics sites to determine the impact advertisements are making. Marketing analysts are key to marketing departments as they help understand what efforts are working and what advertisements to spend company money on. 

3. Transportation Logistics Specialist

Transportation logistics specialists can utilize a data analytics background in a variety of ways. This role relies heavily on the ability to identify efficient delivery routes for products and services. Someone in this role uses large datasets to eliminate transit bottlenecks. 

4. Operations Analyst 

An operations analyst’s primary job is to organize a company’s internal processes. This role focuses on general operations as well as internal reporting and product manufacturing and distribution. Operations analysts can work for nearly every type of business, including supermarket chains, delivery providers or even government agencies. 

5. Healthcare Analyst

Healthcare data analysts collect, organize and interpret data from sources like electronic health records, billing claims, cost reports and surveys. The purpose of this role is to assist healthcare providers in order to improve the quality of care, lower costs and improve patient experiences. Someone in this field might have duties like automating internal and external reports, creating data dashboards or being responsible for presenting information to hospital executives. 

Related Reading Data Analyst vs. Data Scientist: Similarities and Differences Explained

Data Analyst Skills

Data analysts employ a variety of soft and technical skills throughout their careers. Like many positions, having clear communication skills and the ability to present complex information is crucial to this role. Critical thinking skills are an essential part of many jobs, and data analysts are no exception. These soft skills are especially important to data analysts because they are often responsible for presenting data to stakeholders and other teams in ways that everyone can understand. 

Along with communication and critical thinking skills, data analysts will need to understand different visualization tools, coding languages and mathematical principles.

Top Data Analyst Skills

• Data visualization
• Data cleaning
• Critical thinking
• Communication

Coding Languages

Mastering coding languages like R and Python is important as they are standard in the industry. These languages also provide advanced analyses and predictive analytics on large data sets. Some coding languages data analysts need to know are: 

Data Visualization

A key element of a data analyst’s job is data visualization. Data visualization allows analysts to identify patterns and showcase their findings to stakeholders and other teams. This skill is crucial in shaping company decisions and roadmaps. Some data visualization tools that data analysts use include: 

• Google Analytics & Google Tag Manager
• Microsoft Power BI

Data analysts rely on databases to store, maintain and organize data. There are several types of database languages that analysts may need to learn early on in their career. SQL , one of the first database languages created in 1970, is still a standard for querying and handling data today. Some common database languages for data analysis include: 

• Apache Cassandra

Data Warehouses

Data analysts use data warehouses to perform queries and analysis on historical data. The information contained in a data warehouse can include data such as application log files and transaction applications. These tools are useful to analysts because they consolidate large datasets from many sources. Often called a “single source of truth,” a data warehouse allows a company to improve decision making based on historical insights over time. Some types of data warehouses are: 

• Amazon Redshift
• Apache Hive
• Microsoft Azure SQL Database
• Oracle Database
• Oracle Warehouse Builder
• SAP NetWeaver Business Warehouse

Data Analyst Education Requirements

Although it may be possible to get a job in data analytics without a degree, having a bachelor’s degree can help candidates stand out and is often a requirement for many positions. Majoring in data analytics in an undergraduate program is a great place to start but not all universities offer this. Some alternative majors to look into include data science, computer science, applied mathematics or statistics. 

Whatever major you choose, taking courses on statistics, calculus and linear algebra will help you develop crucial skills for your career. Computer science courses with a focus on databases and statistical software will also provide a solid background to draw from. For those that have an idea of what field they’d like to work in, it’s always a good idea to take a course or two in a specific industry like healthcare or finance. 

Obtaining a master’s degree in analytics or a related field will open up more opportunities as well as senior positions. In fact, approximately 50 percent of professionals in the data science and analytics industry hold master’s degrees. Master’s degrees can help data analysts advance their visualization skills, understand how to use data in an ethical way and learn the best practices for data security. 

More on Job Descriptions How to Write a Job Description: Data Driven Results

To help determine what candidates expect, we’ve gathered average data analyst salary information from seven major hiring markets in the United States.

• Austin, TX: $78,469
• Boston, MA: $83,313
• Chicago, IL: $78,462
• Colorado: $77,359
• Los Angeles, CA: $89,517
• New York, NY: $86,392
• Seattle, WA: $83,224

Below are some resources to help you write a job description that will attract candidates with the skills needed to be successful in their role. It includes a data analyst job description template for you to alter and customize so that it includes the necessary responsibilities and requirements while reflecting your unique company culture. 

Company Bio

Use this section to provide a high level overview of your company, culture, perks and benefits, career development opportunities and anything else that will get candidates excited about your company.

Responsibilities

• Collaborate with various stakeholders and teams including product, engineering and finance.
• Provide teams and stakeholders with actionable insights and analysis reports based on data to support decision making efforts.
• Collect data from numerous data sources, clean data and analyze data to identify trends.
• Build and analyze automated dataset dashboards to predict issues before they arise, identify bugs in data and resolve them.
• Support individual team members by creating customizable tabular or visual reports with ad hoc reporting via SQL.
• Communicate and present technical information with non-technical team members and stakeholders.

Requirements

• Bachelor’s degree in computer science, mathematics, finance, economics, statistics or a related field.
• [X] years experience working in technical data analysis, data science, data warehousing in [insert industry] or a related industry.
• Experience with designing reports and dashboards on [insert tools].
• Experience with [insert relevant databases].
• Strong knowledge of [insert coding languages].
• Excellent communication skills including written, verbal and presentation.

Recent Data + Analytics Articles

Resume Builder

• Resume Experts
• Search Jobs
• Search for Talent
• Employer Branding
• Outplacement

Research Data Analyst Job Description

Research data analyst duties & responsibilities.

To write an effective research data analyst job description, begin by listing detailed duties, responsibilities and expectations. We have included research data analyst job description templates that you can modify and use.

Sample responsibilities for this position include:

Research Data Analyst Qualifications

Qualifications for a job description may include education, certification, and experience.

Licensing or Certifications for Research Data Analyst

List any licenses or certifications required by the position: MBSAQIP, ACS, UCSD, PA, PADC, CITI, ACRP, SOCRA, CSPO, CSM

Education for Research Data Analyst

Typically a job would require a certain level of education.

Employers hiring for the research data analyst job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Education, Statistics, Graduate, Economics, Computer Science, Epidemiology, Biostatistics, Public Health, Finance, Engineering

Skills for Research Data Analyst

Desired skills for research data analyst include:

Desired experience for research data analyst includes:

Research Data Analyst Examples

• Microsoft Word (.docx) .DOCX
• PDF Document (.pdf) .PDF
• Image File (.png) .PNG
• Motivate for higher collaboration and performance
• Develop algorithms and statistical models, and perform statistical analyses appropriate to data
• Prepare figures for publication and presentation
• Collaborate with lab members on data collection and analysis methods
• Employ new and existing tools to create reports to reporting requirements defined by the project
• Develop software to maintain interactions between multiple internal and external databases
• Use reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions
• Provide documentation based on audit and reporting criteria
• As the Initiative Research Data Analyst Associate, the employee will support efforts to seek out and assemble in usable form the intellectual landscape around the strategic initiatives
• Alignment, Variant Calling of DNA-seq
• Ability to automate ongoing reports such as VBA, java script, is a plus
• Four-year college degree in bioinformatics, biostatistics, computational biology or similar, with strong publication record
• A solid understanding of biological principles and genetics
• Proficiency with use of web repositories such as NCBI, KEGG, ENCODE, UCSC genome browser
• Preprocessing and integration of RNA-seq
• Apply complex filters such as pedigree segregation and phenotype ontology to prioritize variants
• Methods Development
• Lead the development of novel methods and pipelines to process genomic data and uncover disease associations
• Interact with clinical geneticists and physicians in order to analytically prioritize disease causing variants
• Facilitate methods developed by junior analysts and students
• Tool and infrastructure dissemination
• Interact with external and internal collaborators
• Facilitate development of junior analysts and students
• Use customized software to characterize images and waveforms
• Assist and support primary research projects to analyze end-customer demand dynamics, product/brand/channel preferences, spending and customer satisfaction trends
• Regularly analyze product performance and communicate best practices for enhancing performance to relevant stakeholders
• Minimum 2 years of related experience in data sciences, analytics or market research
• Ability to query large data sets using query tools such as SQL (Teradata) and IBM Modeler
• PhD with two years of relevant experience or combination of education and relevant experience
• Standardization and collection includes main statement information extensive supplemental information as reported in the financial documents
• This is a position that requires strong attention to detail
• 1-3 years experience in marketing research and/or planning, sales analysis, or data mining
• Formal training in statistics
• Experience with package development in R
• Create databases and reports, and employ existing tools to interpret, analyze, and visualize multivariate relationships in data
• Collaborate/coordinate with DCFS and Therapeutic Residential Providers’ CQI and QI management staff to facilitate information exchange
• Coordinate/collaborate with other TRPMI CQI Specialists to share best practices and pitfalls
• Integrate QI into all TRPMI Teams’ processes and activities to assure efficiency in interactions with Residential Providers and DCFS
• Collaborate/coordinate with DCFS and Residential Providers’ QI and QI management staff to facilitate information exchange
• As her/his experience grows, provides consultation to customers on appropriate data management and data-related methodological issues such as strengths and weaknesses of aspects of the EDW and other data sources
• Identify, prioritize and extract data from a variety of sources such as electronic medical notes, survey results, medical reports, and laboratory data to develop a project-specific dataset/database
• Maintain research database accuracy and completeness
• Interest in learning about the equity and equity research business
• Eagerness to learn and be proactive in asking for guidance or direction
• Familiarity with audience television and digital measurement tools (comScore, Nielsen) a plus
• Deep familiarity and fascination with digital video and social media is a must!
• Some business knowledge through work and/or internship experiences
• Detail oriented with excellent oral and written skills
• Create complex charts and databases, perform statistical analyses, and develop graphs and tables for monitoring, publication, and presentation
• Lead the development of predictive algorithms that combine different data sources from the immune system to predict long-term recovery from surgical trauma and pregnancy
• Responsible for documentation and maintenance of source codes, computation code/experiences at a highly technical and critical task level
• Business Development to assist with prospecting, pitch, and pricing of new partners
• Merchant Sales teams to assist in developing best practices for sales partners, developing sales models to improve Inbound and Outbound lead scoring, track new merchant pricing, and to create and maintain merchant pricing models
• Finance and Portfolio Management to provide research and analytics to optimize existing customer portfolio, including expanding on predictive monitoring capabilities, tracking the impacts of pricing initiatives, and determining targets for value added services
• Corporate Cross Payments team to lead cross channel sales efforts
• Carry out data analyses in parallel on large compute cluster
• Constructing and managing multiple, complex longitudinal data sets
• Writing code to implement complex statistical procedures under the guidance of senior staff
• Curiosity and deep desire to learn!
• Attentive to detail and data accuracy
• Ability to work independently with minimal guidance, exercising discretion and judgment
• Able to work accurately, work well with others and pay strict attention to detail
• Must be adaptable to do work which is varied and requires an intellectual and professional approach
• Requires a high degree of flexibility of skills and hours
• Developing reports, memos, charts, graphs and tables for use by researchers and for publication and presentation
• Communicating with external SEDA users and stakeholders, answering and documenting questions about the SEDA data set
• Documenting data generating processes of SEDA data set for technical and non-technical audiences
• Partners with clients to define requirements based on research objectives
• Experience analyzing complex data and presenting to diverse audiences
• Experience reading and interpreting scientific research journal articles
• A meticulous yet creative approach to your work
• Good interpersonal skills, ability to work on a team, and excellent written & oral communication
• A desire to solve research problems
• Bachelor's degree or 4+ years experience in a research lab
• Experience working with complex networks of potential partners within the university and in communities, , school systems and non-profit organizations, required
• Technical skills necessary to extract data from a relational database
• Ability to take direction, work independently, and/or work collaboratively, as situations require
• Ability to meet deadlines, handle multiple assignments simultaneously, and be flexible with changing priorities
• Strong writing and oral communication skills to communicate effectively to non-technical and technical audiences
• Ability to think analytically and to pay detailed attention to accuracy of code and data

Related Job Descriptions

Create a Resume in Minutes with Professional Resume Templates

I am an Employer

I am a candidate.

Research Analyst Job Description [Updated for 2024]

In the data-driven era, the demand for research analysts is at an all-time high.

As the information landscape continues to evolve, the need for skilled professionals who can investigate, interpret, and apply complex data becomes more crucial.

But let’s delve deeper: What’s truly expected from a research analyst?

Whether you are:

• A job seeker trying to understand the core of this role,
• A hiring manager outlining the perfect candidate,
• Or simply fascinated by the intricate world of research analysis,

You’ve come to the right place.

Today, we present a flexible research analyst job description template, designed for effortless posting on job boards or career sites.

Let’s dive right into it.

Research Analyst Duties and Responsibilities

Research Analysts employ a detail-oriented approach and strong analytical skills to gather and interpret data in various fields.

Their work informs business decisions and policy making, making them integral to many industries.

They have the following duties and responsibilities:

• Design and implement research methodologies and data collection plans
• Analyze data using statistical software and techniques
• Prepare reports and presentations of findings, illustrating data graphically and translating complex findings into written text
• Communicate results and findings to management and clients through clear and concise data reports and presentations
• Track and monitor progress of data collection
• Identify trends, patterns and insights within the collected data
• Coordinate with team members and other analysts to complete projects
• Follow strict data privacy and confidentiality protocols
• Stay informed about industry trends and research methods

Research Analyst Job Description Template

We are seeking a detail-oriented Research Analyst to aid us in the interpretation of complex data and provide actionable insights.

The Research Analyst will be responsible for designing and implementing research projects, analyzing data, interpreting results, and making recommendations based on their findings.

Our ideal candidate has a strong analytical mindset, exceptional problem-solving skills, and the ability to present information in a clear and concise manner.

Responsibilities

• Conduct thorough and accurate research using various techniques and tools
• Analyze and interpret statistical data and provide reports that identify trends and insights
• Present research findings to internal teams and clients
• Assist in making informed business decisions by providing data-driven insights
• Collaborate with team members and other departments on research projects
• Stay updated on industry trends and advancements in data analysis
• Maintain accurate records of research methodologies and data analysis

Qualifications

• Proven experience as a Research Analyst or similar role
• Strong analytical skills with the ability to collect, analyze, and interpret large datasets
• Knowledge of statistical analysis software (SPSS, SAS, etc.)
• Familiarity with CRM programs
• Demonstrable ability to report on research findings clearly
• Ability to work in a fast-paced, deadline-driven environment
• A degree in Statistics, Mathematics, Economics, or a related field
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

Additional Information

• Job Title: Research Analyst
• Work Environment: Office setting with opportunities for remote work. May require occasional travel for field research.
• Reporting Structure: Reports to the Research Manager or Director of Research.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $65,000 minimum to $95,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

What Does a Research Analyst Do?

Research Analysts are primarily employed in various sectors such as finance, marketing, operations, or policy research firms, among others.

They can also work as independent consultants.

Their primary responsibility is to gather and interpret data to help companies make informed decisions.

This involves conducting extensive market research, analyzing industry trends, and studying the competition.

A Research Analyst uses statistical tools and software to analyze data and report their findings.

They create detailed reports and presentations that help businesses understand the data and use it to their advantage.

Their job may also include designing and conducting surveys or focus group sessions, depending on the type of research required.

They may also need to use predictive modelling to foresee future trends.

Research Analysts work closely with a team of other analysts, managers, or clients to determine the research objectives, plan the research process, and present the findings.

They are also responsible for ensuring the accuracy of the data collected and maintaining the confidentiality of sensitive information.

A significant part of their role involves staying updated with the latest industry developments and trends, and incorporating those insights into their research.

Research Analyst Qualifications and Skills

A proficient research analyst should possess the skills and qualifications that align with your job description, such as:

• Analytical skills to understand large amounts of data and information, and derive meaningful insights from them.
• Attention to detail and organizational skills for accurate collection, examination and reporting of data.
• Strong knowledge of statistical analysis tools, data interpretation techniques and data gathering methods.
• Excellent communication skills to present findings, explain their implications and influence decision-makers.
• Problem-solving skills to address complex research challenges and provide solutions.
• Ability to work independently and collaboratively with a team, managing multiple projects and deadlines effectively.
• Technical skills to use software and technologies related to data analysis and research.
• Knowledge of the industry to understand the context and relevance of research findings.

Research Analyst Experience Requirements

Research Analysts usually start their career with a bachelor’s degree in relevant fields like economics, finance, statistics, or a related field.

Some entry-level positions may require a year or two of experience, which can be gained through internships, academic research, or part-time roles in data analysis or market research.

Candidates with around 2-3 years of experience have often enhanced their analytical skills, data interpretation abilities, and experience with research tools and methodologies.

They may also have exposure to writing research reports and making presentations.

Those with over 5 years of experience are generally considered senior research analysts.

They may have developed their skills in project management, leadership, and strategic planning.

These individuals often have hands-on experience in designing and implementing research projects and have a deep understanding of statistical analysis tools.

They might also have advanced degrees such as a Master’s or PhD in a related field.

Some roles may even require research analysts to have specific industry experience to understand the unique market trends and challenges of that sector.

This might include fields like healthcare, finance, technology, or consumer goods.

Research Analyst Education and Training Requirements

Research Analysts usually possess a bachelor’s degree in a field related to their area of research.

Common fields of study include business, economics, statistics, mathematics, or a related discipline.

They must have a strong background in research methodology, data interpretation, and analytical tools such as SPSS, SAS, or R.

For more specialized or senior roles, a master’s degree or Ph.D. in a relevant field may be required.

These programs offer in-depth study and research opportunities, allowing analysts to specialize in a particular area of interest.

In addition to their formal education, Research Analysts often pursue professional certifications.

These might include the Chartered Financial Analyst (CFA) certification for those working in finance, or the Certified Market Research Professional (CMRP) certification for those in marketing research.

Continuous professional development is crucial in this role due to the ever-evolving nature of research methodologies and analytical tools.

Therefore, analysts are often expected to participate in workshops, seminars, or courses to stay up to date with the latest industry trends and advancements.

Finally, some employers might also prefer candidates with practical experience.

Internships or previous roles involving data analysis, report writing, or project management can be beneficial.

Research Analyst Salary Expectations

A Research Analyst can expect to earn an average salary of $59,611 (USD) per year.

The actual salary may vary based on factors such as the level of experience, field of research, location, and the size and type of the employing organization.

Research Analyst Job Description FAQs

What skills does a research analyst need.

Research Analysts need to possess strong analytical skills to interpret complex data and draw conclusions.

They should have excellent knowledge of statistical analysis software and databases.

Proficient writing skills are also necessary to present findings clearly.

In addition, they should have strong problem-solving skills to address research challenges and good communication skills to present their findings to stakeholders.

Do Research Analysts need a degree?

Yes, Research Analysts typically need a bachelor’s degree in a field relevant to their area of research.

This could include subjects such as economics, business, finance, statistics, or social science.

Many employers prefer candidates with a master’s degree or higher.

Specialized certifications like the Chartered Financial Analyst (CFA) credential can also be beneficial.

What should you look for in a Research Analyst resume?

A Research Analyst’s resume should demonstrate strong analytical skills, proficiency in statistical software, and a solid educational background in a relevant field.

Look for experience in conducting research, analyzing data, and preparing reports.

Any experience or familiarity with the specific industry relevant to the role should also be highlighted.

What qualities make a good Research Analyst?

A good Research Analyst is detail-oriented, ensuring accuracy in their findings and reports.

They are naturally curious, always looking for patterns and insights within the data.

They need to be able to work independently, manage their time effectively, and meet deadlines.

A good Research Analyst should also have excellent communication skills, as they will often need to present their findings to non-analytical audiences.

What is the career progression for a Research Analyst?

A Research Analyst can progress into more senior roles such as Senior Analyst or Research Manager, where they would oversee a team of analysts.

They may also specialize in a particular field and become a subject matter expert.

Additionally, they can transition into related roles such as Business Intelligence Analyst or Data Scientist with additional training and experience.

And there we have it.

Today, we’ve explored the complex and fascinating role of a research analyst.

It’s not just about crunching numbers.

It’s about shaping informed business strategies, one data point at a time.

With our comprehensive research analyst job description template and real-world examples, you’re ready to make your move.

But why stop at the surface?

Dig deeper with our job description generator . It’s your next step towards creating precision-crafted job listings or fine-tuning your resume to perfection.

Every data point contributes to the broader understanding.

Let’s shape those strategies. Together.

Reasons to Become a Research Analyst (Guide Business Decisions)

How to Become a Research Analyst (Complete Guide)

Disadvantages of Being a Research Analyst (Analyzing Agony Awaits!)

Ease into Earnings: The Ultimate Guide to Low-Stress Careers

The Robot Job Rush: Is AI Coming for Your Career?

Market Buzz: The Top Trending Jobs Making a Splash

The Pressure Pot: Jobs That Cook Up Stress Daily!

The Editorial Team at InterviewGuy.com is composed of certified interview coaches, seasoned HR professionals, and industry insiders. With decades of collective expertise and access to an unparalleled database of interview questions, we are dedicated to empowering job seekers. Our content meets real-time industry demands, ensuring readers receive timely, accurate, and actionable advice. We value our readers' insights and encourage feedback, corrections, and questions to maintain the highest level of accuracy and relevance.

Similar Posts

Airline Network Planner Job Description [Updated for 2024]

Community Nutritionist Job Description [Updated for 2024]

Health System Vice President Job Description [Updated for 2024]

Environmental Biotechnologist Job Description [Updated for 2024]

Bilingual PR Specialist Job Description [Updated for 2024]

Career Coach Job Description [Updated for 2024]

Leave a reply cancel reply.

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

DEI in 2024 is a more polarized topic than in 2020 – Check out our recent survey and get the insights Download the report

• HR Toolkit |
• HR Templates |
• Job descriptions |
• IT and Development job descriptions |

Data Analyst job description

A Data Analyst is a professional who collects and analyzes data across the business to make informed decisions or assist other team members and leadership in making sound decisions.

Eleni, ex-People Ops Manager at Workable, excelled in recruitment, lifecycle management, and employer branding.

Refreshed on

February 1, 2022

Reviewed by

Eftychia Karavelaki

Senior Recruitment Manager

This Data Analyst job description template is optimized for posting in online job boards or careers pages. It is easy to customize for your company’s data analysis teams.

Data Analyst responsibilities include:

• Interpreting data, analyzing results using statistical techniques
• Developing and implementing  data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
• Acquiring  data from primary or secondary data sources and maintaining databases

Hiring a data analyst? Sign up for Workable’s 15-day free trial to post this job and hire better, faster.

Want to generate a unique job description?

Looking for a job.

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data Analyst Job Duties

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Responsibilities

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

Requirements and skills

• Proven working experience as a Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Post this Data Analyst job to over 200 job boards at once.

Frequently asked questions, related job descriptions.

• Data Manager job description
• Data Scientist job description
• Healthcare Data Analyst job description

Related Interview Questions

• 16 data analyst interview questions and answers
• Data Scientist (Analyst) interview questions and answers
• Data Architect interview questions and answers

Related Topics

• IT onboarding checklist
• Best job posting sites to use when hiring for startups

Available in

Jump to section, share on mastodon.

• Software Development
• Data Science and Business Analytics
• Press Announcements

Data Analyst Job Description: Skills, Roles and Responsibilities

#ezw_tco-2 .ez-toc-title{ font-size: 120%; font-weight: 500; color: #000; } #ezw_tco-2 .ez-toc-widget-container ul.ez-toc-list li.active{ background-color: #ededed; } Contents

In the digital age, data is the lifeblood of businesses, flowing through every department and informing every decision. Data analysts are the skilled professionals who navigate this ocean of information, extracting valuable insights that drive growth, efficiency, and innovation. Organizations across industries rely on data analysts to uncover hidden patterns, trends, and correlations within their data. These insights not only enable informed decision-making but also deepen understanding of customer behaviours, optimize operations, and sharpen competitive edges.

Elevate your data analysis skills and unlock new career opportunities with Scaler’s Data Science course . Learn from industry experts and gain hands-on experience to excel in the data-driven world.

This guide delves deep into the multifaceted role of data analysts, highlighting their key responsibilities, essential skills, and necessary qualifications. Whether you’re a hiring manager seeking to build a high-performing data team or an aspiring analyst looking to embark on a rewarding career path , this guide will provide you with a clear roadmap to success in the data-driven world.

What is Data Analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. This process resembles detective work, where data analysts meticulously sift through raw data to unearth hidden patterns, trends, and relationships.

Imagine data as a collection of clues. Data analysts employ their expertise to assemble these clues and reveal a coherent picture of the underlying dynamics within a business, organization, or any field of interest. They use a variety of tools and techniques, such as statistical analysis, data visualization, and machine learning, to make sense of complex datasets and extract meaningful insights.

The objective of data analysis extends beyond merely understanding past events; it aims to forecast future occurrences. By identifying trends and patterns, data analysts can help businesses make better decisions, improve efficiency, and gain a competitive edge.

What Does a Data Analyst Do?

Data analysts collect, clean, and analyze data to answer questions, solve problems, and inform decision-making. Utilizing a range of tools and techniques—such as statistical analysis, data visualization, and machine learning—they extract meaningful insights from datasets of all sizes.

The Significance of Data Analysts in Various Sectors:

Data analysts play a crucial role in a wide range of industries, helping organizations harness the power of data to achieve their goals:

• Business: Data analysts interpret customer data, optimize marketing campaigns, monitor sales performance, and predict future trends.
• Healthcare: They analyze patient data to identify risk factors, improve treatment outcomes, and streamline healthcare operations.
• Finance: Analysts assess financial risks, detect fraudulent activities, and devise investment strategies based on market trends.
• E-commerce: They personalize shopping experiences, recommend products, and optimize pricing strategies.
• Technology: They analyze user behaviour, improve website performance, and develop data-driven products and features.

Data Analyst Job Description: Roles and Responsibilities

Job overview.

As a Data Analyst, your primary responsibility is to collect, clean, analyze, and interpret data to address business queries and tackle problems. In this role, you will: 

• Handle Large Datasets: Employ statistical tools and visualization techniques to discern trends, detect outliers, and identify opportunities for operational enhancements.
• Communicate Effectively: Present your findings to stakeholders in a manner that is both clear and concise, translating complex data into actionable insights that can drive strategic business decisions.

Roles and Responsibilities

• Data Collection and Processing: Gather data from various sources (databases, spreadsheets, etc.), clean and validate it to ensure accuracy, and prepare it for analysis.
• Data Analysis: Employ statistical and analytical methods to scrutinize data sets. Identify significant trends, patterns, and relationships that can inform business strategies.
• Reporting and Visualization: Create clear and concise reports and visualizations that summarize findings and communicate insights to stakeholders.
• Collaboration: Engage closely with various departments such as marketing, finance, and operations. Understand their specific data needs and deliver relevant and impactful analyses that support departmental and organizational goals.

Qualifications

• Educational Background: Bachelor’s degree in a quantitative field such as statistics, mathematics, computer science, or economics.
• Technical Proficiency: Proficiency in programming languages like Python or R, as well as SQL for querying databases.
• Analytical Skills: Strong analytical and problem-solving skills.
• Communication Skills: Excellent communication and presentation skills.
• Additional Expertise: Experience with data visualization tools like Tableau or Power BI is a plus.

Additional Requirements (Preferred)

• Professional Certifications: Possessing certifications such as the Google Data Analytics Professional Certificate or the Microsoft Certified: Data Analyst Associate can significantly bolster your expertise and strengthen your application.
• Industry-Specific Experience: Experience in specific industries, such as healthcare, finance, or retail, is highly advantageous. It demonstrates your capability to tailor data analysis to unique business contexts and challenges. 

By possessing these qualifications and skills, you’ll be well-equipped to tackle the challenges of data analysis and contribute to data-driven decision-making in your organization.

Essential Data Analyst Skills

1. technical skills.

• Data Cleaning and Preparation: This is the essential first step in any data analysis process. It involves rectifying errors, resolving inconsistencies, and filling in missing values to ensure the data’s accuracy and reliability. Think of it as tidying up a messy room before starting to decorate it.
• Statistical Analysis: This is where the magic happens. Data analysts use statistical methods to uncover patterns, trends, and relationships in data. They might use techniques like hypothesis testing to evaluate whether an observed effect is statistically significant or simply due to chance.
• Programming (e.g., Python, R): While not always mandatory, programming skills are becoming increasingly important for data analysts. Python and R are particularly favored for their extensive libraries that support data manipulation, analysis, and visualization.
• Database Management: Data often resides in databases, so knowing how to query and retrieve data using SQL is essential. This involves understanding database structures and writing efficient queries to extract the information you need.
• Data Visualization Tools (e.g., Tableau, Power BI): Data visualization is a powerful way to communicate insights. These tools allow you to create interactive charts, graphs, and dashboards that make complex data easy to understand and interpret.
• Machine Learning Basics: An understanding of machine learning is advantageous, though not mandatory. It expands your capabilities into more advanced areas of predictive modeling and pattern recognition.

2. Soft Skills

• Critical Thinking: Data analysts need to think critically to ask the right questions, identify relevant data sources, and interpret results in a meaningful way. This involves challenging assumptions, considering different perspectives, and drawing logical conclusions.
• Attention to Detail: Data analysis requires meticulous attention to detail to ensure accuracy and reliability. Even small errors in data cleaning or calculation can lead to misleading conclusions.
• Communication: Effective communication is crucial for explaining complex data insights to non-technical stakeholders. Data analysts need to be able to present their findings clearly and concisely, using visuals and storytelling techniques to make the data engaging and understandable.
• Problem-Solving: Data analysts frequently address complex business challenges through data-driven approaches. This requires a blend of creativity and analytical thinking, the ability to deconstruct problems into manageable parts, and a readiness to trial various solutions.
• Teamwork: Data analysis is often a collaborative effort. Data analysts need to be able to work effectively with other team members, including data engineers, data scientists, and business stakeholders. This involves sharing knowledge, collaborating on projects, and communicating effectively.
• Ethical Judgment: Data analysts must adhere to ethical standards and guidelines when collecting, analyzing, and using data. This includes ensuring data privacy and security, avoiding bias, and being transparent about their methods and findings.

How to Highlight Skills in a Resume?

Your resume is your first impression, and highlighting your skills effectively can mean the difference between getting an interview and being passed over. Here’s how to showcase your expertise and catch the eye of potential employers:

1. Tailor Skills to Job Descriptions:

• Read the job description carefully and identify any specific skills or keywords that are mentioned.
• Prioritize and highlight the skills you possess that are directly relevant to the job requirements.
• To make your resume stand out to Applicant Tracking Systems (ATS), use the same terminology as the job description.
• Instead of using generic terms like “proficient” or “experienced,” provide specific examples to demonstrate your abilities in action.

2. Create a Dedicated Skills Section:

• Organize your most relevant skills into a separate section so that recruiters can easily scan them.
• Categorize your skills (e.g., technical skills, soft skills) to make them easy to identify.
• Consider using a skill rating system (e.g., beginner, intermediate, advanced) to contextualize your level of proficiency.

3. Quantify Your Achievements:

• Do not just list your responsibilities; show the impact of your work.
• Quantify your accomplishments by using numbers and metrics.
• For example, instead of saying “analyzed data,” say “analyzed sales data, identifying a 15% increase in revenue due to a new marketing campaign.”

4. Incorporate Skills into Professional Experience:

• Use your work experience section to highlight how you’ve applied your skills in real-world scenarios.
• Use action verbs to describe your accomplishments and the value you brought to your previous positions.
• Quantify your results whenever possible to demonstrate the impact of your efforts.

5. Highlight Transferable Skills:

• Even if you have no direct experience with data or business analysis, you are likely to have transferable skills that are useful in these roles.
• Highlight problem-solving, communication, critical thinking, and project management abilities, emphasizing how they can be applied to data-driven tasks.

Tools Used by Data Analysts

Data analysts rely on a diverse toolkit to wrangle, analyze, and visualize data. Here are some of the most popular tools they use to uncover insights and drive informed decision-making:

• SQL: The backbone of data analysis, SQL allows analysts to extract specific data from relational databases, perform calculations, and aggregate information.
• Python: This versatile programming language is increasingly becoming a staple for data analysts. With its extensive libraries like Pandas for data manipulation and Matplotlib for visualization, Python offers a powerful and flexible platform for data exploration and analysis.

Transform your data analysis skills with Scaler’s Data Science course . Learn Python, SQL, and other essential tools from industry experts and gain hands-on experience to excel in your data-driven career.

• R: A specialized language for statistical computing and graphics, R boasts a vast collection of packages for data analysis, statistical modeling, and creating publication-quality visualizations. It’s a popular choice among analysts who require a deep dive into statistical methodologies.
• Excel: While often overlooked, Excel remains a powerful tool for data analysis. Its familiar interface and built-in functions allow for basic data cleaning, analysis, and visualization, making it accessible to users with varying levels of technical expertise.
• Tableau: This popular data visualization tool enables analysts to create interactive dashboards and reports that transform complex data into easily understandable visual stories. Its drag-and-drop interface makes it user-friendly, while its advanced features cater to complex analytical needs.
• Power BI: Microsoft’s business intelligence platform, Power BI, offers a comprehensive suite of tools for data preparation, analysis, and visualization. Its integration with other Microsoft products and its powerful AI capabilities make it a popular choice for enterprise-level analytics.
• Google Analytics: A web analytics service offered by Google tracks and reports website traffic. Data analysts use Google Analytics to understand user behaviour, measure website performance, and track the effectiveness of marketing campaigns.
• SAS (Statistical Analysis System): A comprehensive software suite used in various industries for advanced analytics, business intelligence, and data management. Its extensive library of statistical procedures and powerful data manipulation capabilities make it a valuable tool for complex data analysis tasks.
• SPSS (Statistical Package for the Social Sciences): Widely used in academia and the social sciences, SPSS offers a user-friendly interface and a comprehensive set of statistical tools for data analysis, hypothesis testing, and survey research.
• Git: While not strictly a data analysis tool, Git is a version control system that’s essential for collaborating on code and data projects. It enables you to track changes, revert to previous versions, and collaborate easily with other team members.

Types of Data Analysts

The field of data analysis includes a wide range of specializations, each tailored to specific industries and domains. Let’s explore some of the most common types of data analysts and their unique responsibilities:

• Business Analysts: These versatile analysts bridge the gap between data and business , leveraging their analytical skills and business acumen to identify problems, develop solutions, and drive strategic decision-making. They analyze market trends, financial performance, and operational data to optimize business processes and achieve growth goals.
• Financial Data Analysts: These experts specialize in analyzing financial data, such as investment portfolios, market trends, and company performance. They apply their knowledge to evaluate risk, identify investment opportunities, and offer financial advice to clients or organizations. 
• Marketing Analysts: Marketing analysts dive deep into customer data, analyzing purchase behaviour, website traffic, and social media engagement to measure the effectiveness of marketing campaigns and identify areas for improvement. Their findings guide marketing strategies, optimize customer targeting, and boost sales.↵
• Operations Analysts: These analysts focus on improving operational efficiency by analyzing data related to production, logistics, and supply chain management. They identify bottlenecks, streamline processes, and implement data-driven solutions to cut costs and boost productivity. 
• Healthcare Data Analysts: In the healthcare sector, data analysts play a crucial role in analyzing patient data, clinical trial results, and healthcare costs. Their work assists in identifying disease trends, assessing treatment efficacy, and improving patient care. 
• Web Analysts: Web analysts track and analyze website traffic, user behaviour, and conversion rates to optimize website design and improve user experience. They use tools like Google Analytics to understand how users interact with websites, identify pain points, and recommend improvements.
• Quantitative Analysts (Quants): Quantitative analysts are highly specialized analysts who use mathematical and statistical models to analyze financial markets, develop trading strategies, and assess risk. They work in investment banks, hedge funds, and other financial institutions.
• Social Media Analysts: These analysts monitor and analyze social media data to understand customer sentiment, track brand reputation, and identify emerging trends. Their insights help businesses refine their social media strategies and engage effectively with their audience.
• Data Quality Analysts: Ensuring the accuracy, completeness, and reliability of data is crucial for effective analysis. Data quality analysts are responsible for monitoring and improving data quality, identifying and resolving inconsistencies, and implementing data governance policies.
• BI (Business Intelligence) Analysts: BI analysts leverage business intelligence tools like Tableau and Power BI to create dashboards, reports, and visualizations that provide insights into business performance. They help translate complex data into actionable information for decision-makers.

Data Analyst Salary

The demand for skilled data analysts is booming worldwide, but salaries can vary significantly depending on the region. Here’s a glimpse into the average salaries you can expect in three major markets:

Note: These are average figures, and actual salaries may vary depending on factors like specific skills, industry, company size, and location within the region.

Top Companies Hiring Data Analysts

Data analysts are in high demand in a variety of industries as companies rely more on data-driven insights to make informed decisions and gain a competitive advantage. Here’s a look at some of the leading companies actively seeking data analyst talent in 2024:

Technology:

• Meta (Facebook)
• Goldman Sachs
• J.P. Morgan Chase

Consulting:

• McKinsey & Company
• Boston Consulting Group (BCG)
• Bain & Company

E-commerce and Retail:

• Amazon India
• Reliance Retail

Healthcare:

• Apollo Hospitals
• Max Healthcare
• Fortis Healthcare
• Philips Healthcare
• Siemens Healthineers

Other Industries:

• BYJU’S

This list is just the beginning; many other companies in a variety of industries are actively seeking data analysts. By researching companies that align with your interests and career goals, you can find exciting opportunities to apply your data skills and make a meaningful impact.

How to Choose the Right Educational Program?

With so many data analysis programs available, selecting the right one can be difficult. Here are some tips to help you navigate the options and find the best fit for your needs:

• Define Your Goals: Determine what you want to achieve with your education. Are you looking to gain foundational knowledge, specialize in a specific field, or advance into a data analyst position? Your goals will help narrow down your choices.
• Consider Your Learning Style: Do you prefer structured classroom learning, self-paced online courses, or a combination of both? Some programs provide more flexibility than others, so select one that fits your learning style. 
• Evaluate the Curriculum: Examine the syllabus to ensure it includes the necessary topics, such as statistics, programming (Python, R), SQL, data visualization, and machine learning. Look for programs that offer hands-on projects and real-world applications.
• Research the Faculty: The quality of instruction has a significant impact on your learning experience. Research the instructors’ backgrounds and experiences to ensure they are experts in the field and passionate about teaching.
• Look for Career Support: If you want to work as a data analyst, choose a program that provides career support services like resume reviews, mock interviews, and job placement assistance.  
• Consider Cost and Time Commitment: Educational programs vary in cost and duration. Choose a program that fits your budget and schedule, and make sure it provides a good return on investment in terms of job opportunities and salary potential.

Scaler’s Data Science and Machine Learning Course: A Path to Data Mastery

Scaler’s Data Science and Machine Learning Course stands out as a comprehensive and career-focused program that equips you with the skills and knowledge needed to thrive as a data analyst. Here’s what makes it an appealing choice:

• Industry-Vetted Curriculum: The curriculum was created by experienced data scientists from top companies, ensuring that you learn the most in-demand skills and technologies.
• Expert 1:1 Mentorship: Receive personalized guidance and support from industry veterans throughout your learning journey.
• Live Classes and Doubt Resolution: Interact with instructors and peers in real time, ask questions, and clarify concepts.
• Real-World Projects: Gain practical experience by working on projects that simulate real-world data analysis scenarios.
• Career Support: Leverage Scaler’s extensive network and career services to connect with top employers and land your dream job.

By choosing Scaler, you’re not just enrolling in a course; you’re investing in your future as a data analyst. With a focus on practical skills, industry relevance, and career preparation, Scaler empowers you to become a data-driven professional ready to tackle the challenges of the modern workplace.

Read More Articles

Data analysts are critical for modern businesses because they transform raw data into actionable insights that drive informed decisions. With a diverse skillset spanning technical expertise and effective communication, they play a crucial role in various industries, from healthcare and finance to marketing and technology.

The demand for skilled data analysts is increasing, with competitive pay and opportunities for specialization and advancement. By investing in the right education, continuously honing their skills, and staying abreast of the latest trends, data analysts can thrive in this exciting and impactful field.

How to start a career as a data analyst?

A bachelor’s degree in a related field, online courses, or bootcamps like Scaler’s Data Science and Machine Learning program can all help you build a solid foundation in data analytics. Build your skills in SQL, Python, or R, and data visualization tools. Seek internships or entry-level positions to gain practical experience.

What does a data analyst actually do?

Data analysts collect, clean, and analyze data to discover insights and trends that help businesses make informed decisions. They create reports, dashboards, and visualizations to communicate their findings to stakeholders.

What is the qualification of a data analyst?

Most data analyst positions require a bachelor’s degree in a quantitative field like statistics, mathematics, or computer science. Strong skills in SQL, data analysis software, and programming languages like Python or R are essential.

Is being a data analyst a good career?

Yes, data analysis is a promising career with high demand across industries. It offers intellectual challenges, opportunities for growth, and competitive salaries. Data analysts play a vital role in helping businesses make informed decisions, solve problems, and drive growth.

 Is data analyst a high-paying job?

Yes, data analyst salaries are competitive and can vary based on experience, skills, location, and industry. In India, the average salary for a data analyst is around ₹5,40,000 per year , according to Glassdoor. With experience and specialized skills, salaries can reach upwards of ₹15 lakhs or more.

Is data analysis a lot of coding?

While some coding is often required, especially with languages like SQL and Python/R, data analysis isn’t primarily a coding-heavy role. The focus is on analytical thinking, problem-solving, and using tools to gain insights from data. However, having coding skills can be a significant advantage in this field.

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

Get Free Career Counselling

By continuing, I have read and agree to Scaler’s  Terms  and  Privacy Policy

Get Free Career Counselling ➞

Data Analyst Job Description (Duties, Skills, Salary, Certification & More)

Jeff Gillis 0 Comments

By Jeff Gillis

There are some misunderstandings surrounding the data analyst job description. In a way, it’s kind of surprising. After all, data isn’t anything new. Heck, it even had a place in ancient Mesopotamia. That’s right, about 7,000 years ago , there were accounting records. And that counts as data.

It wasn’t until relatively recently that data was thrust into the spotlight. All of a sudden, headlines were peppered with the phrase “Big Data.” Companies began searching for ways to leverage all of the information they were collecting, including everything from sales records to engagement on their social media profiles.

But who would make all of that happen? Who would dig into those stores to derive meaning and identify patterns? Enter the data analyst, an investigator who makes it their mission to turn all of that information isn’t something meaningful.

Alright, so that may be a little ambiguous. Luckily, if you’re looking for a clearer data analyst job description, we have that covered. Let’s take a look at the ins and outs of this role.

What Is the Data Analyst Position?

Alright, let’s start with the basics. What is data analysis?

Well, it’s the practice of taking information and sifting through it. Along the way, the goal is to identify patterns and trends, leading to helpful insights that can guide a company’s decisions and direction. The professionals that handle all of that are data analysts.

Companies hire data analysts to help them find answers to critical business questions. Often, the goal is to examine past experiences as well as general customer information. The goal is to find the story within that information. Then, the organization can use those insights to make better choices.

Now, it’s important to note that data science is different. Data scientists also have more advanced capabilities, like data modeling, predictive analysis, and machine learning, just to name a few. So, these roles aren’t exactly alike, even though they do have responsibilities in common.

What Are a Data Analyst’s Duties & Responsibilities?

Okay, so you’ve got a solid idea of what a data analyst is. But that only scratches the surface. If you really want to understand that a job is all about, the best way to do it is to look at its core duties.

So, what does a data analyst do on a daily basis? Well, they handle a wide range of responsibilities, that’s what. Exactly what is involved does vary a bit from one company to the next. After all, every organization is different, each with its own priorities, data sources, and goals.

But many of them have quite a bit in common. Looking for specifics? Sure thing. Here’s an overview of the most common duties you’ll find in a data analyst job description:

• Collect data from a variety of sources
• Create mechanisms for exploring structured, semi-structured, and unstructured data
• Handle confidential information responsibly
• Manage metadata
• Commission and decommission datasets
• Assess data quality
• Support data integrity initiatives
• Define new collection techniques
• Identify patterns in data
• Generate insights from the available information
• Examine trends for clues to boost performance
• Create reports to share insights with company leaders

What Skills Do Data Analysts Need?

While the core responsibilities above probably give you a solid idea of what it takes to become a data analyst, that doesn’t mean we shouldn’t dive into the specifics. By understanding the data analyst skills, you can ensure that you bring everything you need to the table, increasing the odds that you’ll succeed in the role.

It’s critical to reiterate that every job is different. However, certain foundational skills are practically universal must-haves. Here’s a look at the most commonly requested data analyst hard skills:

• Data collection
• Statistical modeling
• Data mining
• Database management
• Report generation
• Data visualization
• Business process development
• Data analysis

While you might think that covers everything, it doesn’t. Along with technical prowess, you also need soft skills. These help you navigate the professional world with greater ease, making it more likely that you’ll succeed. Here are some of the soft skills every data analyst simply must possess:

• Communication
• Analytical mindset
• Detail-oriented
• Problem-solving
• Critical-thinking
• Accountability
• Time management
• Organization

Data Analyst Certification & Education

Like many technical positions, your journey toward becoming a data analyst starts with education. Usually, you’ll need at least a Bachelor’s degree, typically in a field like information technology, computer science, statistics, or mathematics.

If you want to get ahead, then having a certification isn’t a bad idea. It can let you showcase your data analysis-specific skills. That can be a boon since there are very few data-oriented college degrees, giving you a way to highlight your relevant knowledge.

Here are some of the top data analytics certifications available:

• Certified Analytics Professional
• Cloudera Certified Associate Data Analyst
• MCSE: Data Management and Analytics
• MapR Certified Data Analyst
• AWS Big Data Specialty Certification

What Are the Salary Expectations?

Working as a data analyst can be lucrative. Generally, there’s a shortage of tech talent. As a result, because demand outweighs supply, companies have to offer strong salaries to attract candidates. In the end, that works in your favor, particularly as you gain some experience down the road.

In the United States, the average annual salary for data analysts is $76,000 a year. That’s pretty solid. Plus, it’s certainly possible to go above that. In some cases, a six-figure salary might not be out of the question, particularly if you work in a region with a higher cost of living, like Silicon Valley.

Additionally, if you work your way up into a senior data analyst position, you’ll get an appropriate salary boost. In those roles, the average annual data analyst salary hits $94,501 . For the top 10 percent, earning above $117,600 is the norm.

What You Need to Know for Your Job Interview

Alright, if you’ve gotten this far, you’re probably thinking that the data analyst job description is sounding pretty good, and you’re right. It’s an intriguing position.

Additionally, there are an estimated 2.7 million data-oriented positions. And new ones are being created on a seemingly daily basis. Since big data isn’t going anywhere anytime soon, there’s at least a degree of job security in that.

But that doesn’t mean you don’t have to worry about your data analyst interview. As with any job, failing to impress the hiring manager means you won’t be selected.

If you want to shine like the amazing candidate you are, start by reviewing the data analyst job description carefully. Identify the must-have skills and traits. That way, you can make sure to incorporate them into your answers.

Ready for a bit of secret sauce? Then take a trip to the company’s About Us page. Review the mission and values statements, then work details that reference those priorities into your answers, too.

What to go further? Well, head to the company’s social media pages. There, you’ll learn about the culture, recent achievements, and more. If you can find moments to talk about those, you’ll really stand out.

When it comes time to answer behavioral interview questions , embrace the right strategy. If you combine the STAR Method and the Tailoring Method , you can make sure that your answers genuinely pack a punch. Your responses will be relevant and engaging, increasing the odds that you’ll impress the hiring manager along the way.

Putting It All Together

Ultimately, if the data analyst job description sounds great to you, going down that road can be a smart decision. If you enjoy identifying patterns, critical thinking, and working as part of a team, it could be the right role for you.

Additionally, the ability to move up means you can bring in a stellar data analyst salary once you secure a senior-level job. That means it can be a very lucrative path as well, which is a nice bonus.

So, if it seems like a match, why wait? Take advantage of all of the information above and start your journey to your new career today. You’ll be happy you did.

Thanks for reading!

Check out our other “job description articles” if you’re exploring career options:

Co-founder and CTO of TheInterviewGuys.com. Jeff is a featured contributor delivering advice on job search, job interviews and career advancement, having published more than 50 pieces of unique content on the site , with his work being featured in top publications such as INC , ZDnet , MSN and more.

Learn more about The Interview Guys on our About Us page .

About The Author

Jeff gillis.

Co-founder and CTO of TheInterviewGuys.com. Jeff is a featured contributor delivering advice on job search, job interviews and career advancement, having published more than 50 pieces of unique content on the site , with his work being featured in top publications such as INC , ZDnet , MSN and more. Learn more about The Interview Guys on our About Us page .

Copyright © 2024 · TheInterviewguys.com · All Rights Reserved

• Our Products
• Case Studies
• Interview Questions
• Jobs Articles
• Members Login

Your favourite senior outside college

Home » Employer Resources » Hiring Tips » Research Analyst Job Description

Research Analyst Job Description [with Must-Have Elements]

Every successful organization relies on the expertise of a research analyst to drive informed, data-driven decisions. By harnessing their proficiency in conducting thorough research, analyzing data, and delivering valuable insights, you pave the way for strategic decision-making based on solid evidence. This approach not only enhances your understanding of customers, growth prospects, and competitors but also empowers you to make well-informed choices that fuel profitability and expansion.  The job role of a Research analyst plays a pivotal role in shaping your organization’s trajectory, so it is imperative to recruit a candidate who possesses the requisite skills and competence. Dive into this blog to unravel the art of crafting a compelling research analyst job description to attract desired and cultural-fit candidates.

Table of Contents

Research Analyst Job Description: Key Elements 

Crafting a compelling research analyst job description requires incorporating six key elements. By following this structure, you’ll attract qualified and enthusiastic candidates who align with your company culture. Here’s a breakdown of these essential elements:

1. Company Overview

In this section, introduce your company and create a compelling narrative that will captivate candidates who share your values and aspirations. You can achieve this by providing details about company values, culture, mission, and work environment. 

ABC is a young and vibrant startup passionate about specialty coffee. We source the world’s finest beans, ethically traded and bursting with unique flavor profiles, before roasting them to perfection in small batches. Our mission is to break away from the bitter brew of the ordinary and introduce you to an extraordinary coffee experience. 

2. Research Analyst Job Overview

This section provides brief details about the job role of the research analyst. Here, talk about the key roles and responsibilities of research analysts. Additionally, you mention the job profile you are offering and the location, to provide comprehensive information. This allows the candidate to build a clear understanding of what the job role entails and read further if it interests them. 

Job Profile: Research Analyst

Location: Chennai

Job Overview:

ABC seeks a Research Analyst to analyze data and inform strategic decisions across our entire coffee experience. This includes sourcing, roasting, marketing, and customer satisfaction. You’ll help us understand market trends, identify new customer segments, and ultimately, deliver exceptional coffee, in every cup.

3. Job Responsibilities of Research Analyst

Next, list all the research analyst job duties. This comprehensive list facilitates the candidate to understand what a day in the job role of a research analyst looks like. Additionally, it enables you to set clear expectations for potential candidates and attract candidates who know how to handle these tasks and duties. 

Responsibilities: 

• Conduct research to identify emerging trends.
• Analyze supplier data to ensure ethical sourcing, optimal quality, and fair trade practices.
• Evaluate the products and how we can create unique products. 
• Analyze market research to identify consumer preferences, emerging trends, and competitor strategies. 
• Develop customer segmentation strategies, craft targeted marketing campaigns, and measure their effectiveness.
• Analyze customer feedback data to identify areas for improvement across all touchpoints.
• Recommend data-driven solutions to enhance customer satisfaction and brand loyalty.
• Research and analyze the competitive landscape, identifying market trends, competitor strengths and weaknesses, and potential new market opportunities.
• Analyze market data, production costs, and customer behavior to develop optimal pricing strategies and revenue growth initiatives.

4. Research Analyst Job Requirements

This section discusses the research analyst’s skills and qualifications, enabling them to successfully fulfill their duties. Providing an exhaustive list of skills facilitates you to attract qualified and competent candidates, ultimately reducing hiring time. In this section, ensure that you include technical and soft skills essential for this position. 

Required Skills: 

• Strong analytical skills with proficiency in data analysis tools and software (e.g., Excel , SPSS, Tableau).
• Excellent written and verbal communication skills with the ability to present complex data insights clearly and concisely.
• Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
• Strong attention to detail and a commitment to accuracy.Knowledge of market research methodologies and best practices.
• Experience with customer relationship management (CRM) software.Proven ability to develop and implement data-driven recommendations.

Preferred Qualifications:

• Bachelor’s degree in Business Administration, Marketing, Statistics, or a related field.
• Minimum 2 years of experience in research analysis, preferably within the consumer goods industry.

5. CTC, Benefits, and Work Schedule  

Offering competitive CTC packages and supplemental benefits can be an effective strategy for attracting job applicants. Additionally, providing benefits, such as flexible working hours and work-from-home facilities, can prove beneficial. 

Offered CTC: ₹5 LPA – ₹6 LPA

• House rent allowance
• Travel allowance 
• Health and life insurance 
• Flexible working hours 
• Paid menstrual leaves 

Work Schedule: 10:00 am to 7:00 pm (Monday to Friday) 

6. Call-to-Action (CTA)

Conclude the research analyst job description with a CTA. Provide a link to the job portal, company website, or email address, where applicants can apply by sharing their resumes and cover letters. You can also ask for additional information, documents, or requirements as per your needs. 

Are you a research enthusiast with a knack for turning data into insights that drive informed decisions? We encourage you to apply by submitting your resume and cover letter to [email protected]. In your cover letter, tell us why you’re passionate about research and what excites you about the prospect of joining our team.

Research Analyst Job Description Sample 

Here’s a research analyst job description example. You can utilize this sample to write a job description ideal for your organization as per your requirements. 

For a strong market presence and consumer satisfaction, in-depth and data-driven research becomes essential. A research analyst plays a significant role in your organization by conducting such tasks, enabling you to make informed decisions. A detailed job description can come in handy when finding a suitable candidate. The points discussed in this blog will help you craft an ideal research analyst job description and find a skilled and cultural-fit candidate. 

Begin your hiring journey with Internshala and hire talent among the 21+ million skilled job seekers. Also, check out our blog on how to hire an employee to build a robust hiring strategy. 

Answer: The skills required for a research analyst include data analysis, statistical modeling, market research, and trend forecasting. They should also have strong analytical skills, attention to detail, and the ability to translate data into actionable insights. Excellent business communication skills are also essential for presenting findings to diverse audiences.

Answer: A research analyst typically requires a Bachelor’s degree in Business Administration, Marketing, Economics, or a related field. A Master’s degree is preferred. Proficiency in statistical analysis software, database query languages, such as SQL , and data visualization tools like Tableau is essential for this role.

Answer: Salary expectations of a research analyst can vary depending on factors, such as experience, location, and industry. In India, the average salary for a research analyst is around ₹4.8 LPA, with the potential to go as high as ₹9.7 LPA.

• ← Previous
• Next →

Shobha Saini, the Head of Human Resources at Internshala, has maintained a stellar track record in employee relations and talent acquisition. With eight exceptional years of experience, she specializes in strategic planning, policy-making, and performance management. A multi-talented individual, she has played a major role in strategizing HR practices in the organization.

Related Post

Appointment Letter for a Web Developer [with Template]

Hiring a web developer is crucial for any company looking to establish or enhance its online presence. A skilled web developer ensures that your website is functional, user-friendly, and visually

How to Negotiate Salary with Employee: A Step-by-step Guide

Negotiating salary with employees is a crucial aspect of the hiring and retention process. It requires a balanced approach that ensures the interests of both the employer and the employee.

How to Hire a Campus Ambassador?: Steps & Tips

A campus ambassador represents your company, promoting its brand and products. They are enthusiastic about your brand and use their skills to effectively market your brand on campus. They also

How to Hire Telecallers: A Complete Guide

Are you looking for a telecaller for your business to increase sales, improve customer engagement, or provide exceptional customer service? Recruiting a telecaller can significantly improve your business operations, as

• Job Descriptions
• Information Technology Job Descriptions

Data Analyst Job Description

A data analyst collects and stores data on sales numbers, market research, logistics, linguistics, or other behaviors. They bring technical expertise to ensure the quality and accuracy of that data, then process, design, and present it in ways to help people, businesses, and organizations make better decisions.

Data Analyst Job Description Template

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.

Data Analyst Responsibilities:

• Managing master data, including creation, updates, and deletion.
• Managing users and user roles.
• Provide quality assurance of imported data, working with quality assurance analysts if necessary.
• Commissioning and decommissioning of data sets.
• Processing confidential data and information according to guidelines.
• Helping develop reports and analyses.
• Managing and designing the reporting environment, including data sources, security, and metadata.
• Supporting the data warehouse in identifying and revising reporting requirements.
• Supporting initiatives for data integrity and normalization.
• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
• Generating reports from single or multiple systems.
• Troubleshooting the reporting database environment and reports.
• Evaluating changes and updates to source production systems.
• Training end-users on new reports and dashboards.
• Providing technical expertise in data storage structures, data mining, and data cleansing.

Data Analyst Requirements:

• Bachelor’s degree from an accredited university or college in computer science.
• Work experience as a data analyst or in a related field.
• Ability to work with stakeholders to assess potential risks.
• Ability to analyze existing tools and databases and provide software solution recommendations.
• Ability to translate business requirements into nontechnical, lay terms.
• High-level experience in methodologies and processes for managing large-scale databases.
• Demonstrated experience in handling large data sets and relational databases.
• Understanding of addressing and metadata standards.
• High-level written and verbal communication skills.

What is a data analyst?

A data analyst collects, analyzes, and stores data and uses it to help clients or companies make better decisions. Feel free to add your company’s data analyst job responsibilities and requirements to our data analyst description to create a custom job listing.

May I customize your data analytics job description?

Our data analyst job description sample is fully customizable. Before you post a data analyst job, feel free to add any details, data analyst duties, or requirements that you’d like.

What information should I include when I advertise a data analyst job?

Start with our sample job description for data analysts and add the skills, qualities, and qualifications that your company is looking for to ensure applicants understand the role and expectations.

Do you have examples of data analyst interview questions?

We do have interview questions for data analysts.

After you have created a data analyst position description, take a look at our data analyst interview questions .

Related Articles:

Business analyst job description, computer systems analyst job description, information security analyst job description, data analyst interview questions, business analyst interview questions, computer systems analyst interview questions, information security analyst interview questions.

• Sign Up   |   Sign In

Data Research Analyst Job Description

Data research analyst are responsible for gathering and analyzing data, maintaining and improving the quality of data, and collaborating with team to present the data in a meaningful way. Their responsibilities are to supervise, plan, coordinate, and conduct research; and utilize standard reporting technologies to create, manage, and maintain reports. Data research analysts ensure company data architectural guidelines, principles, and standards while also creating appropriate documentation that meets the needed research requirements.

• Data Research Analyst New York City, NY Manhattan , NY , United States Posted: Sep 1, 2024 View Apply
• Data Research Analyst Montana State University Billings Billings , MT , United States Posted: Aug 22, 2024 View Apply
• Data Research Analyst DaVita Inc. Minneapolis , MN , United States Posted: Aug 21, 2024 View Apply
• Senior Investment Data Research Analyst Morningstar Inc. Chicago , IL , United States Posted: Aug 13, 2024 View Apply
• Data Research Analyst - Rock Island, IL Serco Group Rock Island US , IL , United States Posted: Aug 5, 2024 View Apply
• Data & Research Analyst Atrium Health FT Atrium Health Charlotte , NC , United States Posted: Jul 14, 2024 View Apply
• Senior Experimental Data Research Analyst Corteva, Inc. Johnston , IA , United States Posted: Jul 5, 2024 View Apply
• Contracted Early College Jr. Data & Research Analy... State of Massachusetts Everett , MA , United States Posted: Jun 25, 2024 View Apply
• Data Research Analyst Senior University of Kentucky Lexington , KY , United States Posted: Jun 22, 2024 View Apply
• Data Research Analyst Chandler Unified School District Chandler , AZ , United States Posted: Jun 19, 2024 View Apply
• Data Research Analyst-psych University of Alabama at Birmingham University , MS , United States Posted: Jun 16, 2024 View Apply
• Data Research Analyst Intern - Summer 2024 BAE Systems Plc Sterling , VA , United States Posted: Jun 15, 2024 View Apply
• Data Research Analyst Equifax Atlanta , GA , United States Posted: May 31, 2024 View Apply
• Data & Research Analyst City of Tempe (AZ) Tempe , AZ , United States Posted: May 28, 2024 View Apply
• Data Research Analyst Senior University of Kentucky Lexington , KY , United States Posted: May 11, 2024 View Apply

Education you need to become a Data Research Analyst

These are the most common degrees or certificates earned by Jobtrees users prior to becoming a Data Research Analyst

There may be other required degrees or certifications needed for this job. The below info shows you the most commonly desired education level from employers when hiring for this job.

• Master Degree in Computer Science 1 The number of occurrences matches with Data Research Analyst in our database. Avg. Duration: 16 months Avg. Fees: $25,770 Type: Mostly full time View more on Studyportals
• Associate Degree in Business Administration 1 The number of occurrences matches with Data Research Analyst in our database. Avg. Duration: 18 months Avg. Fees: $15,161 Type: Mostly full time View more on Studyportals
• Master of Business Administration (M.B.A) in Business Administration - Management 1 The number of occurrences matches with Data Research Analyst in our database. Avg. Duration: 16 months Avg. Fees: $31,451 Type: Mostly full time View more on Studyportals

Annual Pay Estimate for Data Research Analyst and Other Important Info

See how many years Data Research Analyst 's are in their job, how much they make, how long it took to get there and how available this job is in terms of open positions.

Connect and Share

Career paths for data research analyst, find data driven insights on the path to get to this role and where it can lead, jobs to start your career in becoming a data research analyst.

Other Jobs similar to Data Research Analyst

Career search tools.

Ready to apply? Take a look at the best job posting sites to find the right fit for you.

Resume tools to help beginners and pros. Resources to help you make the best first impression.

Many of the best roles come from who you know. Let these tools help you expand your network.

Data Researcher Job Description, Key Duties and Responsibilities

This post discusses the job description of a data researcher to help you understand what they do. It presents the key duties, tasks, and responsibilities that commonly make up the data researcher work description in most organizations.

This post also provides the major requirements most recruiters will want prospective candidates for the data researcher job to meet to be qualified to access the position.

Please, continue reading to increase your knowledge of the data researcher career:

What Does a Data Researcher Do?

The data researcher is responsible for the research and management of data relevant to an organization, ensuring quality, completeness, and integrity, to enhance day-to-day operations and improved accuracy and efficiency in data processes, or to aid decision-making.

They work for educational institutions, technology companies, institutes for research, etc.

They are responsible for the design, collection, analysis and review of research and evaluation data, as well as the dissemination of statistics that are objective, accurate, and timely.

The data researcher job description also entails developing spreadsheets and data bases to support project activities, and providing quantitative and qualitative analysis and interpretation of findings to aid decision making.

It also involves working with large amounts of data and developing actionable intelligence from the analysis.

Data researchers also provide support to the sales team and the sales process by developing analyses for sales pitches and press releases.

They are also responsible for carrying out ad hoc analyses in response to client requests. They also help to identify new opportunities for market research; performing analysis and developing data-driven models.

The data researcher work description also involves developing and applying statistical models for estimation and prediction of corporate performance across various sectors.

Data Researcher Job Description Example/Sample/Template

Data researchers perform various functions, which primarily involve researching and identifying entities (companies, brands, people, etc.), beliefs, systems, processes, events etc., and actions related to them from different content sources, and processing collected data in an accurate manner using technical knowledge.

They are also responsible for the quality, accuracy, and completeness of the data.

The primary duties, tasks, and responsibilities that make up the data researcher job description are listed below:

• Responsible for modeling information from the media using internally developed tools
• Take part in product planning meetings and provide statistical backed guidance on product development
• Work collaboratively with the Data Strategy team where applicable, to develop an engagement plan for researchers
• Make addition to the development of training materials and strategies related to the organization’s projects
• Work together with other researchers to collect, process, and understand data that can facilitate clients’ decisions
• Responsible for the design, validation, and visualization of data-driven models, including machine learning approaches, to understand social and behavioral phenomena in support of the institution’s mission
• Responsible for collecting and analyzing text and other data from websites and other sources using APIs and custom code
• Responsible for creating structured datasets from large, unstructured data that describe people, activities, and behavior; social networks, communication, and other social phenomena of interest
• Work together with experts to pioneer new approaches to research by integrating diverse data sources
• Responsible for analyzing and interpreting experimental data
• Responsible for communicating findings to project teams and other technical and non-technical stakeholders.

Data Researcher Job Description for Resume

You can use the sample data researcher job description above in making the professional or job experience section of your resume.

If you have worked before as a data researcher or are presently working in that role and are preparing a resume for a new job, it will be beneficial to add the professional experience section to your resume.

This section helps you show the recruiter that you have been successful performing the duties of a data researcher.

You can easily and quickly create this section by adopting the data researcher duties and responsibilities shown in the sample job description above.

Data Researcher Requirements – Skills, Knowledge, and Abilities for Career Success

If you are seeking to work as a data researcher, recruiters will generally ask you to meet certain requirements to be qualified to access the position.

This is to prove that you will be effective in carrying out the obligations, purpose, and objectives of the data researcher role if employed by the organization.

Shown below are major requirements, which applicants for the data researcher position are commonly expected to meet to be able to access it:

• Education: Employers require at least a Bachelor’s degree in Accounting, Finance, or Economics; Mathematics, Statistics, or Computer Science; Operations Research or in a related field. However, an MS, PhD, or other advanced graduate degree is preferred
• Knowledge: To work as a data researcher, applicants must possess an understanding of the industry they are seeking to work in. In addition to industry knowledge, employers also look out for candidates with hands-on experience compiling and analyzing complex, high volume, and dimensional datasets
• Employers also require a solid and proven knowledge of research methodologies, web and social media applications, and familiarity with web searching tools to source information
• It is also beneficial that applicants have a working knowledge of SQL, R, or Perl; Python, Java, or other languages appropriate for large scale data analysis, as well as experience working with relational and/or NoSQL databases (e.g., MySQL, HBase, Cassandra, Neo4J, etc.)
• Collaborative skills: The data researcher often works with other researchers, sales teams, and product teams to understand the project at hand and provide relevant information. So it is crucial that they have the ability to work in a team-oriented environment, as well as with people from diverse backgrounds
• Interpersonal skills: It is also essential that they have the necessary skills to build rapport, establish meaningful relationships, manage, and build a team
• Computer skills: Data researchers utilize the computer as a primary tool; hence, they must be proficient in the use of Microsoft Office applications, including Excel, PowerPoint, and Word. They must also be familiar with Google Documents, data visualization software (e.g., plot.ly or Tableau), and statistical analysis software applications
• Attention to detail: The data researcher is responsible for the accuracy, quality, and integrity of data. Therefore, it is crucial that they pay attention to detail and have a drive for excellence
• Communication skills: After performing data analysis, it s the responsibility of the data researcher to convey and explain findings to varying audiences with a technical or non-technical background. In view of this, it is important that they can draft clear and concise documentation, reports, and specifications, as well as communicate verbally to the relevant parties.

If you are a recruiter or HR manager needing to hire for the data researcher position in your organization, you will need to make a description of the vacant role so that individuals who are interested in the job will know the duties and responsibilities they will be assigned to perform if hired.

The data researcher job description example above will help you in writing the perfect description of the role for your organization.

The information on this page is also helpful to individuals interested in the data researcher career to learn about the kind of duties commonly assigned to the role. This will enable them to decide correctly if it’s the career they will like to pursue.

Did this post increase your knowledge of what data researchers do? Please, make a comment in the box below. You may also share your job description if you work as a data researcher .

Recommended:

This Site Uses Cookies

Privacy overview.

Explore Jobs

• Jobs Near Me
• Remote Jobs
• Full Time Jobs
• Part Time Jobs
• Entry Level Jobs
• Work From Home Jobs

Find Specific Jobs

• $15 Per Hour Jobs
• $20 Per Hour Jobs
• Hiring Immediately Jobs
• High School Jobs
• H1b Visa Jobs

Explore Careers

• Business And Financial
• Architecture And Engineering
• Computer And Mathematical

Explore Professions

• What They Do
• Certifications
• Demographics

Best Companies

• Health Care
• Fortune 500

Explore Companies

• CEO And Executies
• Resume Builder
• Career Advice
• Explore Majors
• Questions And Answers
• Interview Questions

Job Description

Data Research Analyst job description

Example data research analyst requirements on a job description.

• Bachelor's degree in data analytics, mathematics, statistics, or a related field.
• Familiarity with data analysis software and databases.
• Excellent knowledge of statistical packages and data mining techniques.
• Strong working knowledge of Excel.
• Demonstrated ability to analyze complex data.
• Strong communication and presentation skills.
• Ability to work independently and as part of a team.
• Attention to detail and accuracy.
• Organizational and problem-solving skills.

Data Research Analyst job description example 1

Ucsf health data research analyst job description, data research analyst job description example 2, by light professional it services data research analyst job description, data research analyst job description example 3, leidos data research analyst job description, resources for employers posting data research analyst jobs.

Data Research Analyst job description FAQs

What are the most common skills on a job description for a data research analyst, what does a data research analyst do.

Updated March 14, 2024

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Related Job Descriptions

• Analyst Description
• Analyst Sales Description
• Associate Analyst Description
• Data Analyst Description
• Data Analyst Internship Description
• Junior Business Analyst Description
• Junior IS Analyst Description
• Market Analyst Description
• Market Research Analyst Description
• Marketing Research Analyst Description
• Pricing Analyst Description
• Product Analyst Description
• Reporting Analyst Description
• Research Analyst Description
• Research Consultant Description

Data Research Analyst Related Hirings

• Hiring An Analyst
• Hiring An Analyst Sales
• Hiring An Associate Analyst
• Hiring A Data Analyst
• Hiring A Data Analyst Internship
• Hiring A Junior Business Analyst
• Hiring A Junior IS Analyst
• Hiring A Market Analyst
• Hiring A Market Research Analyst
• Hiring A Marketing Research Analyst
• Hiring A Pricing Analyst
• Hiring A Product Analyst
• Hiring A Reporting Analyst
• Hiring A Research Analyst
• Hiring A Research Consultant

Data Research Analyst Related Jobs

• Analyst Sales
• Associate Analyst
• Data Analyst
• Data Analyst Internship
• Junior Business Analyst
• Junior IS Analyst
• Market Analyst
• Market Research Analyst
• Marketing Research Analyst
• Pricing Analyst
• Product Analyst
• Reporting Analyst
• Research Analyst
• Research Consultant

What Similar Roles Do

• Analyst Responsibilities
• Analyst Sales Responsibilities
• Associate Analyst Responsibilities
• Data Analyst Responsibilities
• Data Analyst Internship Responsibilities
• Junior Business Analyst Responsibilities
• Junior IS Analyst Responsibilities
• Market Analyst Responsibilities
• Market Research Analyst Responsibilities
• Marketing Research Analyst Responsibilities
• Pricing Analyst Responsibilities
• Product Analyst Responsibilities
• Reporting Analyst Responsibilities
• Research Analyst Responsibilities
• Research Consultant Responsibilities
• Zippia Careers
• Business and Financial Industry
• Data Research Analyst
• Data Research Analyst Job Description

Browse business and financial jobs

Table of Contents

What is a research analyst, research analyst job description, research analyst roles and responsibilities, research analyst job requirements, research analyst career path, how to become a research analyst, research analyst skills , research analyst salary, research analyst job outlook, how to crack a research analyst interview, choose the right course, research analyst job description: unlocking insights [2024].

Are you looking for a lucrative career opportunity? Are you interested in joining a field with a strong future job outlook? Consider embarking on a career as a research analyst. Research analysts enable organizations to make data-driven decisions by analyzing market research and extracting valuable insights. Their expertise in maximizing the potential of data has made them invaluable assets in various sectors.

The demand for skilled professionals in this area is expected to rise significantly in the coming years, and the compensation offered is notably higher than the national average. Numerous compelling reasons exist to investigate the path to becoming a research analyst.

A research analyst, often referred to in specific sectors like finance, market research, or data analysis, gathers, interprets, and uses various data to help decision-making processes. Their work can span several industries, including finance, marketing, economics, healthcare, and more. Here's a breakdown of what a research analyst does:

• Data Gathering: They collect data from various sources, such as financial reports, databases , surveys, or relevant industry-specific sources.
• Data Analysis: They use statistical tools and models to identify trends, patterns, and insights. This process often involves the use of specialized software for quantitative analysis.
• Report Writing: They compile their findings into reports, presentations, or dashboards. These reports typically include visual data representations like charts and graphs, written summaries and analysis to make the information accessible to stakeholders.
• Making Recommendations: Research analysts may predict future trends and offer recommendations to their clients or employers based on their analysis. These recommendations can guide strategic planning, investment decisions, policy formulation, or marketing strategies.
• Staying Informed: Research analysts must stay up-to-date with industry trends, economic conditions, and technological advancements relevant to their field of specialization. Continuous learning is a key part of their role.
• Specializations: Depending on their field, research analysts may have specific titles, such as financial analyst, market research analyst, operations research analyst, or data analyst . Each specialization focuses on particular types of data and serves different business needs.

Here’s what a Research Analyst Job description looks like:

Job Title: Research Analyst

Job Summary: The Research Analyst collects, analyzes, and interprets data to help the company make informed decisions. This role involves conducting market research, analyzing financial data, identifying trends, and preparing reports contributing to the organization's strategic planning and operational efficiency.

Key Job Responsibilities of a Research Analyst:

• Collect data from various sources, including public databases, financial reports, and surveys.
• Analyze data using statistical tools and analytical methods. Interpret data sets and identify trends, patterns, and insights relevant to the company's goals.
• Prepare detailed reports and presentations that summarize findings and analysis.
• Provide insights based on data analysis to support department decision-making processes.
• Work closely with other departments to understand their data needs and assist in data-driven decision-making.
• Manage research projects from conception to completion, ensuring they are delivered on time and within budget.

Skills and Qualifications:

• Bachelor’s degree in Economics, Statistics, Mathematics, Business Administration, or a related field. A Master’s degree is preferred for advanced positions.
• Proven experience in a research analyst role or similar position.
• Strong analytical and problem-solving skills.
• Proficiency in statistical software (e.g., SPSS, SAS) and Microsoft Office Suite, especially Excel.
• Excellent communication and presentation skills.
• Attention to detail and accuracy.
• Ability to work independently and as part of a team.
• Time management skills and handling multiple projects simultaneously.

Work Environment and Physical Demands:

• This is primarily an office-based role.
• May require occasional travel to conduct field research or attend conferences.

Career Path:

Research Analysts can advance to senior analyst positions, research managers, or specialized roles depending on their expertise and interest.

Our Data Analyst Master's Program will help you learn analytics tools and techniques to become a Data Analyst expert! It's the pefect course for you to jumpstart your career. Enroll now!

• Data Collection: Gather data from diverse sources, including databases, surveys, interviews, and financial reports.
• Data Analysis: Analyze data using statistical methods and software to uncover trends, patterns, and insights.
• Reporting: Prepare detailed reports and presentations summarizing research findings, including charts, graphs, and written analysis.
• Making Recommendations: Provide actionable recommendations based on data analysis to guide decision-making and strategic planning.
• Market Monitoring: This will inform research and analysis and keep you abreast of industry trends, market conditions, and competitor activities.
• Quality Control: Ensure the accuracy and reliability of data collected and analyses conducted.
• Collaboration: Work closely with other departments or teams to understand their research needs and support them with data-driven insights.

The job requirements for a Research Analyst can vary depending on the field and employer, but generally, they include a mix of educational background, skills, and personal qualities. Below are the standard requirements you might find in a job listing for a Research Analyst:

Educational Background

• Bachelor’s Degree: Required in Economics, Finance, Statistics, Mathematics, Business Administration, or a related discipline.
• Master’s Degree: This is preferred or required for more advanced positions, especially in specialized fields like finance or market research.
• Relevant Experience: Many positions require previous experience in research, analysis, or a related role. Entry-level roles may require less experience, but internships in relevant fields can be beneficial.
• Industry-Specific Knowledge: Knowledge of a specific industry can be crucial for certain sectors, such as finance, healthcare, or technology .

Analytical Skills

• Statistical Skills
• Mathematical Skills

Technical Skills

Communication skills.

• Critical Thinking Skills
• Attention to Detail Skills
• Problem-Solving Skills
• Project Management Skills

Personal Qualities

• Curiosity: A strong desire to learn and understand data, trends, and industry dynamics.
• Independence: Ability to work autonomously on projects with minimal supervision.
• Teamwork: Being able to collaborate effectively with other team members and departments.
• Adaptability: Flexibility to adapt to new challenges, methodologies, and technologies.

Certifications

Certifications can be beneficial depending on the specific role and industry, such as Chartered Financial Analyst or Professional Certificate Course In Data Analytics .

The career path for a Research Analyst can be both rewarding and varied, offering numerous opportunities for advancement and specialization. Here’s a general overview of the career trajectory, from entry-level positions to senior roles, and potential avenues for further specialization:

Entry-Level Positions

• Junior Research Analyst: This role starts by assisting senior analysts in data collection, preliminary analysis, and report preparation. It is a learning ground for mastering analytical tools and methodologies.
• Data Analyst: Focuses on manipulating and analyzing data sets to support business decisions. Requires strong technical skills in data management and analysis software.

Mid-Level Positions

• Research Analyst: With experience, analysts take on more complex projects, develop specialized knowledge in certain sectors or methodologies, and are responsible for entire research projects from start to finish.
• Senior Research Analyst: This position leads research projects, manages junior analysts, and is key in decision-making processes. Senior analysts often have specialized knowledge in specific industries or types of analysis.

Advanced Positions

• Lead Analyst/Research Manager: Oversees the research department or teams, setting research goals and strategies and ensuring output quality. Involves strategic planning and often direct interaction with senior management or clients.
• Director of Research: At this level, the role involves more strategic oversight, resource allocation, and integration of research findings into the broader organizational strategy. It may also involve influencing policy or strategic direction based on research insights.

Specialization Opportunities

• Industry Specialist: Becoming an expert in a specific industry (e.g., finance, healthcare, technology) allows analysts to provide deeper insights and more targeted analysis.
• Methodology Expert: Specializing in certain research methodologies or types of analysis , such as qualitative research, econometrics, or data visualization.
• Consultant: Many experienced analysts move into consulting roles to offer their expertise to businesses on a project basis.

Transitioning Roles

• Moving into Executive Management: With substantial experience and a track record of impactful analysis, some research analysts transition into executive roles, such as Chief Information Officer (CIO) or Chief Strategy Officer (CSO), where they can shape company strategy based on data-driven insights.
• Teaching and Academia: Some choose to share their knowledge through teaching at universities or engaging in academic research.

Becoming a Research Analyst involves a combination of education, skills development, and gaining relevant experience. Here is a step-by-step guide to start and advance in a career as a Research Analyst:

1. Obtain the Necessary Education

• Bachelor’s Degree: Earn a bachelor's degree in a relevant field such as economics, finance, statistics, mathematics, business administration, or a related area. This is the minimum educational requirement.
• Consider a Master’s Degree: For more advanced positions or to specialize in a particular area, consider obtaining a master’s degree in your field of interest.

2. Develop Essential Skills

• Analytical Skills: Gain proficiency in analyzing data and extracting meaningful insights.
• Technical Skills: Learn to use statistical software (e.g., SPSS, SAS, R, Python) and database management tools. Become proficient in Excel.
• Critical Thinking: Practice critical thinking to assess information objectively and solve problems.

3. Gain Relevant Experience

• Internships: Look for research or data analysis internships to gain practical experience.
• Entry-Level Positions: Apply for entry-level positions such as Junior Research Analyst or Data Analyst to gain hands-on experience.

4. Build a Portfolio

Showcase Your Work: Assemble a portfolio of your research projects, analyses, and reports. Include any relevant coursework, projects from internships, or freelance work.

5. Obtain Certifications

Certifications: Depending on your field, consider obtaining certifications to demonstrate your expertise and commitment to the profession.

Become a Data Science & Business Analytics Professional

• 28% Annual Job Growth By 2026
• 11.5 M Expected New Jobs For Data Science By 2026

Data Analyst

• Industry-recognized Data Analyst Master’s certificate from Simplilearn
• Dedicated live sessions by faculty of industry experts

Professional Certificate Course in Data Analytics and Generative AI

• Program completion certificate from E&ICT Academy, IIT Kanpur
• Curriculum delivered in live online classroom sessions by seasoned industry experts

Here's what learners are saying regarding our programs:

Gayathri Ramesh

Associate data engineer , publicis sapient.

The course was well structured and curated. The live classes were extremely helpful. They made learning more productive and interactive. The program helped me change my domain from a data analyst to an Associate Data Engineer.

Dhanya krishna

Thank you for introducing us to Python and Data Science techniques. I appreciate the effort. All instructors were very knowledgeable and patiently answered all questions.

6. Network and Seek Mentorship

• Professional Networking: Join professional organizations, attend industry conferences, and connect with professionals in your field through LinkedIn.
• Mentorship: Seek mentors who can provide guidance, advice, and opportunities to advance your career.

7. Apply for Jobs and Advance Your Career

• Job Search: Use job boards, LinkedIn, and your professional network to find research analyst positions.
• Continuous Development: As you gain experience, continue seeking learning and professional development opportunities to advance to higher-level positions.

8. Consider Specialization

Specialize: Certain areas or industries may be particularly interesting or rewarding over time. Specializing in a niche can make you a highly sought-after expert.

A Research Analyst needs a blend of technical, analytical, and soft skills to succeed. Here's a comprehensive list of skills that are essential for Research Analysts:

• Statistical Analysis: Proficiency in using statistical methods to analyze data.
• Data Management: Ability to manage and manipulate large datasets.
• Software Proficiency: Familiarity with statistical software (e.g., SPSS, SAS, R) and programming languages (e.g., Python, R) for data analysis.
• Database Management: Understanding database systems and query languages (e.g., SQL).
• Excel Skills: Advanced competency in Excel for data analysis and visualization.
• Data Visualization: Skill in creating graphs, charts, and other visual representations of data using tools like Tableau or Power BI.
• Survey Design and Analysis: Ability to design surveys and analyze survey data.
• Critical Thinking: Analyze and evaluate an issue to form a judgment.
• Problem-solving: The ability to discern intricate issues, analyze relevant information, formulate potential solutions, and execute effective resolutions.
• Quantitative Analysis: Proficiency in applying quantitative techniques to solve business problems.
• Report Writing: Ability to write clear and informative research reports.
• Verbal Communication: Skills in presenting findings and insights to technical and non-technical audiences.
• Listening Skills: Ability to understand and incorporate feedback and requirements from stakeholders.

Soft Skills

• Attention to Detail: Precision in data analysis and reporting.
• Adaptability: Flexibility to adjust to new data, trends, and technologies.
• Teamwork and Collaboration: Ability to work well with others across different departments and disciplines.
• Ethical Judgement: Maintaining integrity and confidentiality of data.

Research Skills

• Methodology Knowledge: Understanding of various research methodologies and when to apply them.
• Industry Knowledge: Specialized knowledge of specific industries relevant to the role.

Research Analyst salaries vary depending on the country, the specific industry, level of experience, and educational background.

United States

Average Annual Salary: Approximately $60,000 to $70,000

Average Annual Salary: Approximately CAD 57,000 to CAD 65,000

United Kingdom

Average Annual Salary: Approximately £30,000 to £40,000

Average Annual Salary: Approximately AUD 70,000 to AUD 80,000

Average Annual Salary: Approximately €50,000 to €60,000

Average Annual Salary: Approximately ₹4,00,000 to ₹7,00,000

Build your career in Data Analytics with our Data Analyst Master's Program ! Cover core topics and important concepts to help you get started the right way!

The job outlook for Research Analysts is generally positive, with several factors contributing to steady demand across various industries. This outlook can vary by specialization, such as market research, financial analysis, or data analysis, but overarching trends support growth in these roles. Key factors influencing the job outlook include:

Increasing Data Availability

The explosion of data in the digital age has significantly increased the need for skilled professionals who can interpret this information. Businesses and organizations across sectors rely on data to make informed decisions, driving demand for Research Analysts.

Technological Advancements

Advancements in technology, especially in data collection , storage, and analysis tools, have made data more accessible and easier to analyze. This has increased the need for analysts who can use these technologies effectively.

Decision-making Based on Data

There is a growing recognition of the importance of data-driven decision-making in enhancing business efficiency, competitiveness, and innovation. This emphasizes the role of Research Analysts in providing insights and recommendations.

Specialized Fields

Certain fields, such as healthcare, finance, and technology, demand particularly strongly for Research Analysts. For instance, the healthcare industry requires analysts to interpret patient care, treatment outcomes, and operational efficiency data. At the same time, the finance sector relies on analysts for market trends, investment opportunities, and risk management.

Globalization

The global nature of business today means that companies often require analysts who understand international markets and can analyze data from diverse sources. This can lead to opportunities for analysts with language skills and international experience.

Job Market Projections

• The U.S. Bureau of Labor Statistics states that employment for market research analysts will grow 18% from 2019 to 2029.
• Similar projections suggest robust growth for data science and analytics roles, reflecting the broader demand for data expertise.

Cracking a Research Analyst interview requires demonstrating your analytical skills, showcasing your knowledge of the industry and research methodologies, and communicating effectively. Here are strategies and tips to prepare for and succeed in a Research Analyst interview:

1. Understand the Job Description

Match Skills and Qualifications: Carefully read the Research Analyst job description to understand the required skills, tools, and qualifications. Tailor your responses to highlight your experience with these aspects.

2. Brush Up on Your Technical Skills

• Software and Tools: Be prepared to discuss your proficiency with statistical software (e.g., SPSS, SAS, R, Python), databases, and data visualization tools (e.g., Tableau, Power BI).
• Statistical Knowledge: Refresh your knowledge of statistical methods, data analysis techniques, and when to use them.

3. Prepare Your Portfolio

Bring a portfolio of your work, such as research reports, analyses, or data visualizations, demonstrating your skills and impact.

4. Practice Common Interview Questions

• Technical Questions: Be ready to answer questions on statistical methods, data analysis processes, and how you approach complex research problems.
• Behavioral Questions: Prepare examples demonstrating your problem-solving skills, ability to work under pressure, teamwork, and adaptability. Use the STAR method (Situation, Task, Action, Result) to structure your responses.

5. Stay Informed About the Industry

• Current Trends: Be aware of the latest trends in the industry relevant to the role. This could include new data analysis techniques, software tools, or industry-specific challenges.
• Company Research: Research the company, its products or services, competitors, and position in the industry and be prepared to discuss how your skills can help address their challenges.

6. Ask Insightful Questions

Prepare thoughtful questions about the role, team, company culture, or specific projects you might work on. This shows your interest and enthusiasm for the position.

7. Communicate Clearly and Confidently

Be able to explain complex analysis or research findings in simple terms. This demonstrates your ability to communicate with stakeholders needing a technical background.

8. Highlight Your Soft Skills

• Team Collaboration: Share examples of how you've worked effectively in teams, especially in cross-functional teams.
• Time Management: Discuss how you prioritize tasks and manage deadlines, especially when managing multiple projects.

Program Name Data Analyst Post Graduate Program In Data Analytics Data Analytics Bootcamp Geo All Geos All Geos US University Simplilearn Purdue Caltech Course Duration 11 Months 8 Months 6 Months Coding Experience Required No Basic No Skills You Will Learn 10+ skills including Python, MySQL, Tableau, NumPy and more Data Analytics, Statistical Analysis using Excel, Data Analysis Python and R, and more Data Visualization with Tableau, Linear and Logistic Regression, Data Manipulation and more Additional Benefits Applied Learning via Capstone and 20+ industry-relevant Data Analytics projects Purdue Alumni Association Membership Free IIMJobs Pro-Membership of 6 months Access to Integrated Practical Labs Caltech CTME Circle Membership Cost $$ $$$$ $$$$ Explore Program Explore Program Explore Program

The role of a Research Analyst in 2024 is more vital than ever, bridging the gap between vast data sets and actionable insights. As organizations navigate digital complexities, the demand for skilled analysts capable of deciphering data to guide strategic decisions will only escalate.

For those inspired by the potential of this dynamic field and seeking to advance their skills or pivot their career path, the Data Analyst Masters course offered by Simplilearn emerges as a compelling option. This program will equip you with the necessary tools, techniques, and knowledge to excel in data analysis.

1. What are the best degrees for becoming a research analyst? 

Economics, statistics, business administration, finance, and computer science are the most advantageous degrees for aspiring research analysts. These fields provide a strong foundation in analytical skills, critical thinking, and data interpretation, which are crucial for effectively analyzing market trends, consumer behavior, and financial data.

2. How important is programming knowledge for a research analyst?

Programming knowledge is increasingly important for research analysts, especially skills in languages such as Python, R, and SQL. These tools are essential for data manipulation, analysis, and visualization, enabling analysts to handle large datasets efficiently and derive insights more effectively. While not all roles require deep programming expertise, a fundamental understanding is beneficial.

3. Can you transition into a research analyst role from a different field? 

Yes, it's possible to transition into a research analyst role from different fields, especially if you possess strong analytical skills, are proficient in data analysis tools, and have a knack for problem-solving. Additional qualifications, such as relevant certifications or courses in data analysis, statistics, or the specific industry of interest, can facilitate this transition.

4. What is the difference between a research analyst and a data analyst? 

Research analysts focus more on qualitative analysis, market trends, consumer behavior, and industry-specific research. On the other hand, data analysts are more involved in quantitative analysis, working primarily with numerical data, statistical models, and predictive analytics to inform business decisions. The roles may overlap but cater to different aspects of data and research.

5. How do research analysts stay current with industry trends?

Research analysts stay current by continuously monitoring industry reports, publications, and news, attending relevant conferences and webinars, participating in professional networks and forums, and undergoing regular training and certification programs. Staying informed about advancements in analysis tools and methodologies is also crucial to adapt to the evolving demands of the role.

Data Science & Business Analytics Courses Duration and Fees

Data Science & Business Analytics programs typically range from a few weeks to several months, with fees varying based on program and institution.

Learn from Industry Experts with free Masterclasses

Data science & business analytics.

Navigate the Future of Data Analytics with Gen AI & Prompt Engineering

Data Storytelling: Transform Data into Business Solutions with Power BI in 60 Minutes

Career Masterclass: AI Engineer vs. Data Scientist: Skills, Roles, and Opportunities

Recommended Reads

Data Analyst Resume Guide

Research Analyst Salary by Experience and Location

How to Become a Business Analyst

Business Intelligence Career Guide: Your Complete Guide to Becoming a Business Analyst

How to Become a Research Engineer? Description, Skills, and Salary

YouTube Keyword Research Ideas

Get Affiliated Certifications with Live Class programs

• PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.

Data Analyst Job Description and Average Salary

• Sep 4, 2024
• By Traqq Team

What Is Data Analysis? 

Data analysis is the process of applying statistical and logical techniques in a systematic way to describe, summarize, and evaluate data.

Data analysts use statistical methods and tools to uncover patterns, trends, and correlations. Then, they translate this data to offer practical advice or recommendations. Their main task is to address important business questions. These findings serve as a roadmap for stakeholders, helping them make informed decisions and operate businesses more systematically and efficiently.

What Does a Data Analyst Do?

A Data Analyst is a professional who collects, processes, and analyzes large amounts of data to identify trends, patterns, and outliers. They use a variety of tools and techniques to clean, transform, and visualize data, creating reports and dashboards that communicate findings to stakeholders.

Data Analysts work closely with business leaders and other team members to understand the company’s needs and goals, and they provide insights that help inform strategic decisions. They also play a crucial role in ensuring data accuracy and quality, as well as helping to improve data collection and storage processes.

The roles of data analysts are pivotal as they transform raw data into actionable intelligence. The responsibilities of a data analyst include a wide range of duties, such as:

• Data collection: Identify accurate and relevant sources (databases, spreadsheets, and surveys) and use them to gather data.
• Data cleaning and preprocessing: Clean the raw data from a variety of sources and remove any inconsistencies. Handle missing values to prepare it for analysis.
• Data analysis: Use statistical techniques (e.g., regression, clustering, hypothesis testing) to make sense of the data.
• Data visualization: Generate clear and informative visual aids like charts, graphs, and dashboards. These help stakeholders easily understand complex data. 
• Reporting: Prepare detailed reports and engaging presentations to translate complex data into actionable recommendations for decision-makers.
• Predictive modeling: Predict future trends using machine learning and historical data
• Identifying opportunities: Work closely with stakeholders to ensure data initiatives directly support and enhance business objectives, processes, and offerings.
• Monitoring data quality: Maintain data accuracy, consistency, and currency through ongoing monitoring.
• Collaboration: Work alongside cross-functional teams, including data scientists and business analysts, to align data analysis with organizational goals.
• Continuous learning: Stay abreast of the latest industry tools, technologies, and best practices.

Data analysts are pivotal in enabling organizations to utilize data effectively for strategic decision-making and maintaining a competitive edge in a data-centric environment.

Pro tip: Want to supercharge your productivity? Invest in a time tracker such as Traqq . It’s a game-changer when it comes to managing your workload, optimizing time, and making sure your projects stay on track.

An Example of an Entry-Level Data Analyst Job

A hospital is trying to figure out why some patients have to come back after leaving. So, they ask an entry-level data analyst to look at patient records and find out factors that impact readmission rates. He will examine data related to where patients are from, their medical history, and what treatments they got

He will then identify patterns and trends about why some patients come back again and present his findings to hospital management to help them develop strategies to reduce readmissions and improve patient care.

Data Analyst Job Description Template

Job title: Data analyst Location: California, USA Company overview:  [Company name] is a top player in the [industry or sector] world. We call California home and are focused on [brief description of company’s mission or core business]. Job description: We’re looking for a smart, detail-oriented data analyst, who loves numbers and can find hidden gems in data to join our awesome team in California. Our ideal candidate has a sharp mind and a knack for problem-solving, can spot trends and solve puzzles, and is great at solving problems and turning numbers into gold. Responsibilities: – Dive deep into big data piles to find cool patterns and trends that help the boss make smart choices. – Create reports and dashboards that show off our company’s success story. – Team up with different departments to find ways to make things better using data. – Explain complicated data stuff in simple terms that everyone can understand. – Stay on top of the latest data trends and tools to keep us ahead of the game. Qualifications: – Bachelor’s degree in data science, statistics, computer science, or something similar. – You’ve got some experience crunching numbers as a data analyst or something like that. – You’re a whiz with SQL, Python, R, or other coding stuff for data. – You’re a numbers nerd who can handle huge amounts of data. – You can explain complicated stuff simply and look great doing it. – You know your way around tools like Tableau, Power BI, or similar. Preferred qualifications: – It’d be awesome if you had a master’s degree in something related to this job. – Experience in the [industry] world would be a big plus. – If you know your way around machine learning and can predict the future (kind of), that’s a bonus! Benefits: – We offer a great salary and benefits package. – You’ll have chances to grow and learn here. – We’re a friendly team who love working together. Love crunching numbers and making a difference? Join our California crew at [company name]! You’ll help us shape the future. How to apply: Think you’re the perfect fit? Send us your resume and a quick note telling us why you’re excited about this job. You can reach us at [email address or application link].

Want to supercharge your team productivity? Invest in the Traqq time tracker . It’s a game-changer when it comes to managing your workload, optimizing time, and making sure your projects stay on track.

Discover Traqq for FREE

Average Data Analyst Salary

Average data analyst salary in usa.

• Average salary per year: $84,189.
• Range: $70,000 to $100,000.
• Factors: Experience, location, and industry.
• High earnings: Senior data analysts ($100,000 to $120,000) and lead data scientists (over $150,000).

Average data analyst salary in UK

• Average salary per year: £30,000 to £50,000.
• City offering higher salaries: London (more than £50,000 according to demand and living expenses).

Average data analyst salary in Germany

• Salary range per year: €45,000 to €70,000.
• Cities offering higher salaries: Berlin and Munich.

Average data analyst salary in Canada

• Salary range per year: CAD 60,000 to CAD 90,000.
• Cities offering higher salaries: Toronto and Vancouver.

Average data analyst salary in Australia

• Salary range per year: AUD 70,000 to AUD 110,000.
• Cities offering higher salaries: Sydney and Melbourne.

** Note: A healthcare data analyst salary will be dependent on industry-related factors such as the type and size of the organization, location, roles and responsibilities, and industry trends. 

• Miscellaneous

Get started with Traqq today

Time Tracking App for Remote and On-site Teams

Like the article? Share it with your friends!

Related articles

• Aug 27, 2024

Most companies were able to overcome the challenges of moving their teams remote. They did this by setting clear working policies, expectations, and goals. They also provided the right tools to facilitate smooth communication and …

• Feb 27, 2024

If you work in an office with an open space setting, you might have observed a decline in your productivity, coupled with an uptick in anxiety. These are consequences of a loud, distracting work setting. …

• Sep 2, 2024

Remote hiring adds new complexities to existing recruitment challenges. So, how do you identify, attract, and secure the right talent for your company if you will barely ever meet them? Whether your brand has embraced …

The ultimate time tracking app that will end your search is here!

Hey, we use cookies ;)

Traqq uses cookies to improve content and ensure you get the best experience on our website. By continuing to browse our website, you agree to our privacy policy .

• General Track
• Hospitality and Tourism
• International Business
• Graduate Business Certificates
• Admissions Details
• International Field Study
• Student Stories
• Leadership Conference
• Military Students
• Tuition & Financial Aid
• Career Consulting

Market Research Analyst Salary and Job Outlook

July 4, 2024

View all blog posts under Articles

A powerful strategy for any company is to get customers to love its products or services. Research supports the tried-and-true notion that a direct link exists between revenue growth and how customers feel about what a company offers them. This connection seems simple enough; however, businesses often rely on experts who can make sense of the data. Market research analysts examine numerous factors to assess a company’s standing in the market and its relationship with its customers, including product sales, consumer preferences and buying habits, and its competition. They make it their mission to read market trends, with the goal of maximizing a company’s return. The exponential growth of market data—from social media impressions to online product reviews—and the increasing interest in understanding this data are expected to drive significant demand for market research analysts in the coming years. Pursuing an advanced business education can impact a market research analyst’s salary and their ability to qualify for leadership roles in this important business sector.

Market Research Analyst Job Description

Market research analysts are key players in developing and measuring the effectiveness of a marketing strategy. They help businesses better understand customer reception of their products and services, how to reach their target audience, and any targeted price points those services and products may sell best at. Market research analysts rely on a host of tools to collect data, including surveys and questionnaires. They may conduct focus groups or perform literature reviews. In the age of big data, analysts also use data analysis software and other technological tools to analyze and interpret market data. A critical aspect of a market research analyst’s job description is sharing this information with key stakeholders and decision-makers. Analysts convert the insights they glean from their analysis into written reports and visualizations, like charts and graphs, and present those findings to a broad audience, including clients and executives. Because their skill set is so valuable, analysts can find work in health care, finance, and retail—any industry in which marketing can influence a company’s success. Quantitative vs. Qualitative Analysis The two most prominent types of market research analysis are quantitative and qualitative. Quantitative analysis focuses on numerical data, using surveys and other tools to collect data on consumer behavior and market trends. Analysts performing quantitative analysis use statistical software and data visualization tools to analyze large data sets, identifying patterns and trends to inform business decisions. Qualitative analysis, on the other hand, is a more subjective form of market research that focuses on nonnumerical data. For qualitative analysis, analysts may conduct focus groups and use other forms of research to gain insights into consumer behavior and preferences. They analyze this data to identify themes and trends to help businesses develop more effective marketing strategies.

How to Become a Market Research Analyst

Prospective analysts often need to meet certain educational requirements. They typically need a bachelor’s degree in a relevant field, such as marketing, statistics, or finance. While a bachelor’s degree is sufficient for entry-level positions, many companies prefer a master's degree, particularly when hiring for more senior positions. Master of Business Administration (MBA) programs, especially those that offer a marketing concentration, can be an excellent way to build up and demonstrate business acumen. An MBA can also equip students with a broad range of business knowledge and skills highly relevant to market research and can help graduates stand out to recruiters. A 2022 survey from the Graduate Management Admission Council (GMAC) revealed that 90% of corporate recruiters were confident that MBA graduates would succeed in business. And according to 2021 data from the CMO Survey, an MBA can also result in a higher market research analyst salary than other advanced degree options. In addition to a graduate degree, several relevant certifications can help aspiring market research analysts gain a competitive edge in the job market. One of the most well-known certifications in the field is the Certified Market Research Analyst (CMRA), which helps demonstrate proficiency in various market research techniques and methodologies and a commitment to professional standards and ethics. Work experience is also often a crucial step in becoming a market research analyst. Entry-level positions, such as research assistant or analyst, can provide valuable on-the-job training and experience in conducting research studies, analyzing data, and presenting findings to an audience.

The median annual salary for market research analysts was $63,920 as of May 2021, according to the U.S. Bureau of Labor Statistics (BLS). The top 10% of earners made roughly double the median, with a salary of $128,320. Numerous factors can affect compensation, including experience level, location, and industry. For example, the BLS reports that market research analysts in publishing and those in finance and insurance earned $79,450 and $76,650, respectively. The job outlook for market research analysts is also promising, with the BLS projecting a 19% growth in employment from 2021 to 2031, resulting in the creation of more than 150,000 new jobs. This projection is much higher than the average for all occupations (5%), due to the increasing importance of big data in informing business decisions and the need for companies to remain competitive by gaining insights into customer behaviors and preferences.

Advance Your Career as a Market Research Analyst

Market research analysts are crucial drivers of business success. As industries continue to evolve and customer preferences change, analysts will remain vital. The insights they provide can make the difference between a successful business and one that struggles to compete in a crowded market. Because of their significant contributions to business growth, market research analysts are in high demand across a range of industries. Individuals considering this career path should explore Washington State University’s Online Master of Business Administration program. The program, which includes a marketing concentration , delivers a comprehensive education that can prepare you for success as a market research analyst, with courses in data analysis, market fundamentals, and new product marketing. MBA graduates will also complete a capstone project, which offers students the opportunity to put their knowledge into practice by building and presenting a business plan, along with testing a product to measure its commercial potential.

Discover how to master the market with WSU.

Recommended Readings

5 Benefits of Business Analytics in an Organization

Is an MBA Worth It?

What Is a Sales and Marketing Strategy?

The CMO Survey, Managing and Measuring Marketing Spending for Growth and Returns

Graduate Management Admission Council, Corporate Recruiters Survey: 2022 Summary Report

Indeed, “How to Become a Market Research Analyst in 3 Steps”

Indeed, “What Does a Market Research Analyst Do? Duties and Skills”

International Institute of Market Research and Analytics, Certified Market Research Analyst

McKinsey & Company, “Experience-Led Growth: A New Way to Create Value”

U.S. Bureau of Labor Statistics, Market Research Analysts

Learn More About Our Online Programs Today

• Accreditation
• Support Staff
• Corporate Partnerships
• Global Campus
• Notice of Nondiscrimination

PO Box 643615, Pullman, WA 99164-3615

1-877-960-2029

[email protected]

WSU does not discriminate and prohibits discrimination on the basis of sex, race, color, national origin, disability, age, religion, creed, genetic information, marital status, protected veteran/military status, or immigration or citizenship status in any education program or activity that it operates complaint with Title IX and other civil rights laws and regulations. Inquiries regarding Title IX, ADA, or other civil rights laws, as well as reports of discrimination can be directed to the Compliance and Civil Rights , WSU ADA Coordinator , or WSU Title IX Coordinator . More information on WSU's policies and procedures to respond to discrimination and harassment are available here: Nondiscrimination statement .

This site is supported by Boundless Learning™, an educational partner of Washington State University. Boundless Learning works with top universities to deliver exceptional educational experiences for students across the globe.

Copyright © 2024 Washington State University. All Rights Reserved.

Privacy Policy Do not sell my personal information

We're Sorry

The page you are looking for cannot be found. Please try our homepage , or visit:

Diversity and Inclusion

Volunteerism

Values and Purpose

Important notice: You are now leaving Bank of America

By clicking Continue, you will be taken to a website that is not affiliated with Bank of America and may offer a different privacy policy and level of security. Bank of America is not responsible for and does not endorse, guarantee or monitor content, availability, viewpoints, products or services that are offered or expressed on other websites.

You can click the Return to Bank of America button now to return to the previous page or you can use the Back button on your browser after you leave.

Channel Marketing Analyst V

Channel Marketing Analyst V is responsible for marketing a company's products and services through third-party or partner channels. Researches competitor activities, industry trends, and consumer behaviors to identify joint partner or channel opportunities that increase brand awareness and reach new markets. Being a Channel Marketing Analyst V gathers and analyzes sales data and marketing metrics to determine the effectiveness of marketing strategies or channels and measure the return on investment (ROI). Collaborates with channel partners or affiliates to create channel-specific marketing campaigns, materials, and resources. Additionally, Channel Marketing Analyst V provides onboarding, training, and support to establish effective relationships with channel partners and align marketing efforts. Requires a bachelor's degree. Typically reports to a manager. The Channel Marketing Analyst V works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. To be a Channel Marketing Analyst V typically requires 10+ years of related experience.

Employers: Find Surveys For This Job

Employers: Job Description Management Tool

Employees: Get a Salary Increase

Years of Experience

Education Level

Company Size

• Channel Marketing Manager
• Channel Marketing Director
• Channel Marketing Analyst I
• Channel Marketing Analyst II
• Channel Marketing Analyst IV
• Channel Marketing Supervisor
• Channel Marketing Analyst III
• Channel Marketing Senior Manager
• Product/Brand Marketing Analyst V
• Marketing Communications Specialist V
• Channel Marketing Analyst V Salaries with No Diploma
• Channel Marketing Analyst V Salaries with a High School Diploma or Technical Certificate
• Channel Marketing Analyst V Salaries with an Associate's Degree
• Channel Marketing Analyst V Salaries with a Bachelor's Degree
• Channel Marketing Analyst V Salaries with a Master's Degree or MBA
• Channel Marketing Analyst V Salaries with a JD, MD, PhD or Equivalent
• Advertising
• Customer Services
• Retail/Wholesale
• Aerospace & Defense
• Biotechnology
• Business Services
• Construction
• Edu., Gov't. & Nonprofit
• Energy & Utilities
• Financial Services
• Hospitality & Leisure
• MFG Durable
• MFG Nondurable
• Pharmaceuticals
• Retail & Wholesale
• Software & Networking
• Transportation
• San Diego, CA Channel Marketing Analyst V Salaries
• Chicago, IL Channel Marketing Analyst V Salaries
• New York, NY Channel Marketing Analyst V Salaries
• Houston, TX Channel Marketing Analyst V Salaries
• Phoenix, AZ Channel Marketing Analyst V Salaries
• San Antonio, TX Channel Marketing Analyst V Salaries
• San Jose, CA Channel Marketing Analyst V Salaries
• Los Angeles, CA Channel Marketing Analyst V Salaries
• Philadelphia, PA Channel Marketing Analyst V Salaries
• Dallas, TX Channel Marketing Analyst V Salaries