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Research Data Analyst Jobs in Virginia (NOW HIRING)

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

Data Analyst

Springfield, VA ยท Hybrid

$75K - $95K/yr

Conduct research, data gathering, and technical reviews. Produce written deliverables to include ... Validated analytical, creative, and effective problem solving skills, with the ability to present ...

Data Analyst

Springfield, VA ยท On-site

$75K - $95K/yr

Conduct research, data gathering, and technical reviews. Produce written deliverables to include ... Validated analytical, creative, and effective problem solving skills, with the ability to present ...

Data Analyst

Springfield, VA ยท On-site

$75K - $95K/yr

Conduct research, data gathering, and technical reviews. Produce written deliverables to include ... Validated analytical, creative, and effective problem solving skills, with the ability to present ...

Data Analyst Location: Richmond, VA- Hybrid Duration: 12 Months Contract Experience required : 5+ ... research and policy analysis related to housing and community development issues and related ...

Office of Institutional Research & Effectiveness POSITION TITLE: Data Analyst SUPERVISOR: Director, Office of Institutional Research & Effectiveness PURPOSE: Responsible for supporting official ...

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Research Data Analyst information

See Virginia salary details

$38.2K

$73.3K

$98.6K

How much do research data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for research data analyst in Virginia is $73,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $97,700.00 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 closely with other teams to provide actionable insights based on data findings.

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.

Do research analysts get paid well?

Research Data Analysts typically earn competitive salaries that vary based on experience, education, and industry. Entry-level positions may start around $50,000 annually, while experienced analysts can earn over $80,000 or more, especially with specialized skills in data analysis tools like SQL or Python. Compensation also depends on the organization and geographic location.

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 or similar data science roles do not have an age limit; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience, regardless of age.

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.

Will AI replace research analysts?

Research Data Analysts perform data collection, analysis, and interpretation, and AI tools can automate routine tasks such as data processing and reporting. However, human judgment, critical thinking, and domain expertise remain essential for complex analysis and decision-making, making full replacement unlikely in the near term.
What are the most commonly searched types of Research Data Analyst jobs in Virginia? The most popular types of Research Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Research Data Analyst jobs? Cities in Virginia with the most Research Data Analyst job openings:
Infographic showing various Research Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 79% Full Time, 5% Part Time, and 16% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $73,331 per year, or $35.3 per hour.
Data Analyst

Data Analyst

Elder Research

Arlington, VA โ€ข Hybrid

Other

Posted 24 days ago


Job description

Data Analyst


General Information

Requisition # 677

Locations USA-VA-Arlington

Posting Date 03/04/2026

Security Clearance Required - IRS - MBI

Remote Type Hybrid

Time Type Full time


Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area.

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients. Some of your responsibilities will include: consulting with technical and non-technical stakeholders, exploring and analyzing large structured, semi-structured and unstructured datasets using SQL and/or Python, developing and deploying data visualization dashboards, and communicating data analysis results, dashboards and reports to end-users

Responsibilities include but are not limited to:

  • Experience with cleaning, management and processing large volumes of data.
  • Experience building dashboards and reports using data visualization tools including Power BI, and Tableau.
  • Strong analytical and problem-solving skills with the ability to identify and address complex data issues.
  • Work closely with cross-functional teams to gather requirements, understand business needs and to build towards technical solution or capability.
  • Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels.

Minimum Qualifications:

  • Strong analytical and problem-solving skills with the ability to identify and address complex data issues.
  • 2+ years of Data Analysis or Data Management experience.
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
  • Clearance Required
  • Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data.
  • Understanding of databases and familiarity with database design.

Preferred Qualifications:

  • Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
  • Ideally located in the DC Metro area to attend regularly scheduled meetings
  • Statistical/Predictive Analysis
  • Domain Expertise (fraud) or management

Clearance Requirements:

  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:

  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.