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Research Data Analyst Jobs (NOW HIRING)

Senior Research/Data Analyst

Atlanta, GA ยท On-site

$82K - $104K/yr

Senior Research/Data Analyst Location: Atlanta, GA PRIMARY DUTIES AND RESPONSIBILITIES Perform job responsibilities with minimal supervision Extract primary data from Oracle Database with the use of ...

Research Data Analyst 2

Stanford, CA ยท On-site

$108K - $128K/yr

The Center for Population Health Sciences at Stanford University School of Medicine is seeking a Research Data Analyst 2 for data management and analysis work focused on population health. The ...

AND POSITION REQUIREMENTS Program Description The Research Translation Platform invites applications for a Research Data Analyst interested in a career at the research-policy nexus supporting the ...

Apple's Market Research and Analytics team, part of Worldwide Product Marketing, is looking for a survey data analyst to provide critical customer insights that will shape our product and marketing ...

Sr. Research/Data Analyst

Fairborn, OH

$81K - $102K/yr

Abacus Technology is seeking a Sr. Research/Data Analyst to support technical and acquisition programs at Wright Patterson AFB. This is a full-time position. * Collect data from various USAF ...

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Research Data Analyst information

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How much do research data analyst jobs pay per year?

As of Jun 27, 2026, the average yearly pay for research data analyst in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What does a data research analyst do?

A data research analyst collects, analyzes, and interprets large datasets to identify trends and support decision-making. They use statistical tools and software such as Excel, SQL, or Python, and often work in research or business environments to provide actionable insights.

Will AI replace a research analyst?

AI can automate routine data collection and analysis tasks for research data analysts, increasing efficiency. However, the role still requires human skills such as critical thinking, interpretation, and decision-making, which AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace research analysts entirely.

What are some common challenges Research Data Analysts face when working with large datasets, and how are they addressed?

Research Data Analysts often encounter challenges such as data inconsistencies, missing values, and integrating data from multiple sources when working with large datasets. Addressing these challenges typically involves implementing rigorous data cleaning protocols, utilizing statistical software for data validation, and collaborating closely with research teams to understand the context behind the data. Analysts may also create documentation and standardized procedures to streamline future data processing and ensure data integrity. Staying updated with best practices in data management can help mitigate many of these issues.

What is the difference between Research Data Analyst vs Data Scientist?

AspectResearch Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; often certifications in data toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or training
Work EnvironmentResearch institutions, universities, or corporate research divisionsTech companies, finance, healthcare, or any industry leveraging big data
Employer & Industry UsageAcademic, government, and research organizationsPrivate sector, startups, and large corporations

Research Data Analysts focus on analyzing data to support research projects, often working within academic or research settings. Data Scientists have a broader scope, including building predictive models and advanced analytics across various industries. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and work on complex data modeling tasks.

What are the key skills and qualifications needed to thrive as a Research Data Analyst, and why are they important?

To excel as a Research Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with statistical software (e.g., R, SAS, SPSS), data visualization tools (like Tableau or Power BI), and programming languages (such as Python) is typically required. Attention to detail, critical thinking, and the ability to clearly communicate complex findings are crucial soft skills. These competencies ensure accurate data interpretation, effective collaboration with research teams, and impactful decision-making based on reliable insights.

Is 40 too late for data science?

A Research Data Analyst can enter data science at any age, including 40, as the field values skills like programming, statistics, and data visualization that can be learned through online courses and certifications. Many professionals successfully transition into data science later in their careers by gaining relevant experience and building a portfolio. Age is less a barrier than acquiring the necessary technical skills and practical knowledge.

What is a Research Data Analyst?

A Research Data Analyst is a professional who collects, processes, and analyzes data to support research projects across various fields, such as healthcare, social sciences, or business. They use statistical tools and programming languages to interpret complex data sets and help researchers draw meaningful conclusions. Their responsibilities often include data cleaning, statistical analysis, and visualization of results for reports or publications. Research Data Analysts play a crucial role in ensuring the quality and integrity of the data used in research studies.

Are research analysts in demand?

Research data analysts are in high demand across various industries such as healthcare, finance, and technology due to the increasing reliance on data-driven decision making. The role often requires proficiency in statistical tools, data visualization, and programming languages like Python or R, and employment opportunities are expected to grow steadily in the coming years.
More about Research Data Analyst jobs
What cities are hiring for Research Data Analyst jobs? Cities with the most Research Data Analyst job openings:
What are the most commonly searched types of Research Data Analyst jobs? The most popular types of Research Data Analyst jobs are:
What states have the most Research Data Analyst jobs? States with the most job openings for Research Data Analyst jobs include:
Infographic showing various Research Data Analyst job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,965 per year, or $35.6 per hour.
Senior Research/Data Analyst

Senior Research/Data Analyst

Apex Informatics

Atlanta, GA โ€ข On-site

$82K - $104K/yr

Other

Posted 24 days ago


Job description

Title: Senior Research/Data Analyst
Location: Atlanta, GA
Job Description:
PRIMARY DUTIES AND RESPONSIBILITIES
Perform job responsibilities with minimal supervision
Extract primary data from Oracle Database with the use of SQL
Interpret data, analyze results using statistical techniques and provide ongoing reports
Provide timely and accurate data to fulfill internal and external data requests
Identify, compile, and 'clean' data for research projects
Identify, analyze, and interpret trends or patterns in complex data sets
Oversee evaluation and research projects
Communicate the evaluation plan and its details to leadership and stakeholders
Collaborate with external research partners to ensure understanding of data points and data sets
Develop and monitor internal and external data requests
Manage, summarize, and analyze quantitative and/or qualitative data
Summarize and explain research findings and their implications
Prepare findings for publication
Develop, review, and abstract published research
Produce data visualization dashboards with Tableau
MINIMUM QUALIFICATIONS
Bachelor's degree in a related field from an accredited college or university AND Two years in a related lead or supervisory role OR Associate's degree in a related field from an accredited college or university AND Four years of related experience, Two years of which in a related lead or supervisory role OR Two years of experience at the lower level IT Business Analyst or position equivalent.
PREFERRED QUALIFICATIONS
Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, Oracle, etc), programming (XML, Javascript, or ETL frameworks)
Significant experience in accessing and extracting data from organizational and/or other institutional databases
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
2+ years of relevant work experience in the Criminal Justice field and/or Data Management/Analysis
Proficient skills in queries, report writing, and presenting findings
Experience in data visualization software (i.e., Tableau