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Research Data Analyst Jobs (NOW HIRING)

Abacus Technology

Sr. Research/Data Analyst

Fairborn, OH · On-site

$81K - $102K/yr

Overview 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. Responsibilities * Collect data ...

Abacus Technology

Sr. Research/Data Analyst

Fairborn, OH

$81K - $102K/yr

Overview 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. Responsibilities * Collect data ...

Merican

DCS - Research/Data Analyst Senior

Atlanta, GA · On-site

$82K - $104K/yr

DCS - Research/Data Analyst Senior Location: Atlanta, GA 30334 Duration:12 Months Job Type: Temporary Assignment Work Type: Onsite JOB SUMMARY Under broad supervision, performs complex administrative ...

1 point system

Senior Research/Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

... 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 ...

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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.
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Research Data Analyst jobs near you
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.
Sr. Research/Data Analyst

Sr. Research/Data Analyst

Abacus Technology

Fairborn, OH • On-site

$81K - $102K/yr

Other

Posted 14 days ago

Job description

Overview
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.
Responsibilities
  • Collect data from various USAF operating systems, identify positive and negative trends and report detailed information using graphs, charts, and spreadsheets.
  • Examine and validate the accuracy of the USAF maintenance data to include G081, Program Depot Maintenance Scheduling System (PDMSS), and Logistics Evaluation Assurance Program (LEAP) to ensure that it produces meaningful information.
  • Collaborate and coordinate with USAF organizations to improve the accuracy of data inputs to ensure desired outcomes.
  • Utilize scientific inquiry in the independent development of mathematical models and computer programs to evaluate and predict aircraft parameter performance, JMP, MATLAB, Simio, Python, VBA.
  • Participate in study teams; originate new ideas, projects, and methodologies; and execute projects and/or studies within established financial and/or time constraints.
  • Design, build, and communicate findings using visualization techniques.
  • Apply analytic techniques in the evaluation of project objectives or contributes to the implementation of strategic direction.
  • Write code to preprocess and clean data.
  • Develop reports and deliverables for management and communicates with stakeholders.

Qualifications
15+ years experience in research and data analysis including at least 5 years working in a DoD environment. Bachelor's degree in a related field. Must have experience with military aircraft maintenance. Knowledge of quantitative techniques and methods used to develop, adapt, modify, and apply models to resolve problems or define and clarify alternative solutions. Experience with Tableau preferred. Able to negotiate complex issues. Capable of working with the technical or engineering teams to ensure proper support. Must be detail oriented and have excellent problem-solving and analytical abilities. Must have good communications skills and be able to work professionally with all levels of an organization. Must be a US citizen and hold a current Secret clearance.
Applicants selected will be subject to a U.S. government security investigation and must meet eligibility requirements for access to classified information.
EOE/M/F/Vet/Disabled

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