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Veteran Affair Data Analytics Jobs (NOW HIRING)

Data Analytics Coop

Saint Louis, MO · On-site

$21 - $30/hr

Qualifications Current student status pursuing a Bachelor's or Master's degree in Data Analytics ... or protected veteran status. Compensation: We take into consideration a variety of factors ...

Data Analytics Coop

Saint Louis, MO · On-site

$21 - $30/hr

Qualifications Current student status pursuing a Bachelor's or Master's degree in Data Analytics ... or protected veteran status. Compensation: We take into consideration a variety of factors ...

Data & Analytics Lead

Oakwood, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Kforce has a client in Oakwood, GA that is seeking a Data & Analytics Lead who will help build a ... veteran status, or disability status. By clicking ?Apply Today? you agree to receive calls, AI ...

Data Analytics & Engineering Opportunities

Chicago, IL · On-site

$65K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analytics & Engineering professionals support temporary client-based projects. This is a ... veteran status, or on any other basis prohibited by law. To view our inclusion and opportunity ...

Director, Data Analytics

Concord, NC · On-site

$140K - $185K/yr

  • Medical

  • Life

  • Retirement

  • PTO

This role involves analyzing operational data, generating insightful reports, and providing ... orientation, age, veteran status, disability, genetic information, or any other protected ...

Director, Data Analytics

$140K - $185K/yr

  • Medical

  • Life

  • Retirement

  • PTO

This role involves analyzing operational data, generating insightful reports, and providing ... orientation, age, veteran status, disability, genetic information, or any other protected ...

Lead Analyst- Data Analytics

Washington, DC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Management and Analytics, Certified Analytics Professional, Amazon Web Services (AWS ... Amyx is a VEVRAA federal contractor and we request priority referral of veterans. Physical Demands ...

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics ... veteran status, sexual orientation, gender identity or expression, genetic information, or any ...

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

Work hand-in-hand with data analysts & data scientists to ready diverse data sources for analytics ... EEO Minorities/Females/Disability/Veterans; VEVRAA Federal Contractor Beware of employment scams ...

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics ... veteran status, sexual orientation, gender identity or expression, genetic information, or any ...

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

Work hand-in-hand with data analysts & data scientists to ready diverse data sources for analytics ... EEO Minorities/Females/Disability/Veterans; VEVRAA Federal Contractor Beware of employment scams ...

Showing results 41-60

Veteran Affair Data Analytics information

See salary details

$33K

$81.5K

$140K

How much do veteran affair data analytics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for veteran affair data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by professionals working in Veteran Affair Data Analytics and how can they be addressed?

Professionals in Veteran Affairs Data Analytics often face challenges such as managing and integrating large, complex datasets from multiple sources while ensuring compliance with privacy regulations. Balancing the need for timely insights with strict data security standards can be demanding. Collaborating closely with clinical, administrative, and IT teams is essential to fully understand the context of the data and to develop actionable solutions that support veterans' care. Staying current with evolving analytics tools and government policies also helps address these challenges effectively.

What is the difference between Veteran Affair Data Analytics vs Veteran Affair Data Analysis?

AspectVeteran Affair Data AnalyticsVeteran Affair Data Analysis
Required CredentialsBachelor's degree in data science, analytics, or related field; proficiency in data toolsBachelor's degree in related field; basic data analysis skills
Work EnvironmentData teams within VA, offices, or remoteAdministrative or clinical settings within VA
Employer & Industry UsageUsed for developing insights, predictive models, and strategic planningUsed for reporting, data entry, and routine analysis

Veteran Affair Data Analytics involves advanced data processing, modeling, and strategic insights, requiring technical skills and analytical expertise. In contrast, Veteran Affair Data Analysis typically focuses on routine data review and reporting. Both roles support VA operations but differ in complexity and skill requirements.

What are the key skills and qualifications needed to thrive in Veteran Affair Data Analytics?

To excel in Veteran Affairs Data Analytics, you need strong analytical skills, experience with data management, and a relevant degree such as statistics, computer science, or public health. Familiarity with data analytics tools like SQL, Python, R, and specialized platforms such as VA's VistA and Power BI is typically required, along with certifications like Certified Analytics Professional (CAP) or similar. Excellent problem-solving, attention to detail, and communication skills help professionals translate complex data into actionable insights for stakeholders. These capabilities are crucial for improving veteran services, optimizing operations, and supporting evidence-based decision-making within the VA system.

What is Veteran Affair Data Analytics?

Veteran Affair Data Analytics refers to the process of collecting, analyzing, and interpreting data related to veterans' services, benefits, and healthcare within the Department of Veterans Affairs (VA). Professionals in this field use data analytics to improve decision-making, identify trends, and enhance the quality of care and services provided to veterans. Their work supports the VA’s mission by providing insights that drive policy improvements, resource allocation, and operational efficiencies. This often involves working with large datasets, utilizing statistical tools, and collaborating with various VA departments to ensure veterans receive the best possible support.
More about Veteran Affair Data Analytics jobs
What cities are hiring for Veteran Affair Data Analytics jobs? Cities with the most Veteran Affair Data Analytics job openings:
What states have the most Veteran Affair Data Analytics jobs? States with the most job openings for Veteran Affair Data Analytics jobs include:
Infographic showing various Veteran Affair Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

(Hybrid) Research Associate Analyst - Health Affairs Institute

West Virginia University

Charleston, WV • On-site

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago


West Virginia University rating

6.9

Company rating: 6.9 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

458th of 618 rated colleges and universities


Job description

Description
The Health Affairs Institute at West Virginia University is currently accepting applications for a (Hybrid) Research Associate Analyst.
About the Opportunity
The Health Affairs Institute within the WVU Health Sciences Center provides organizational leadership for collaborative activities involving the Health Sciences Center, the West Virginia Department of Human Services (DoHS) and other partners. These include, among others, providing data analytic support, program evaluation expertise, technical assistance, and project management support for the DoHS and other partners. With office locations in both Morgantown and Charleston, the Health Affairs Institute (HAI) employs over 50 full-time staff and engages numerous faculty and staff from other units of the University to fulfill its service mission to the state.
The Research Associate in Health Data Analytics is a key participant in the State-University partnership between the West Virginia University Health Sciences Center and the DoHS. Overarching responsibilities include working with the state to leverage their data and support analytic and policy needs, conducting relevant policy and evaluation research, participating in interdisciplinary research and evaluation teams, and providing oversight of associated data analysts. The successful Research Associate in Health Data Analytics will be data-driven with strong analytical skills and a proven record of finding insights in disparate data and effectively communicating that information to drive decision making.
We strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including:
• 37.5-hour work week
• 13 paid holidays (staff holiday calendar)
• 24 annual leave (vacation) days per year (employee leave)
• 18 sick days per year (for when you're ill, for when you need time to care for sick family, for your own, or your family's, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof)
• WVU offers a range of health insurance and other benefit
• 401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for more retirement benefits information? Check out retirement health insurance benefits, retirement income, and FAQ's.
• Wellness program
What You'll Do
  • Utilizes expertise in machine learning and advanced statistical methods to analyze data sources such as Medicaid Claims to generate evidence for policy interventions.
  • Provide guidance to teams in optimal and proper use if Artificial Intelligence in data analytics
  • Oversees/provides mentorship other analysts as directed by the Director - Center for Measurement and Health Data Analytics
  • Oversees the analyst training program by identifying training gaps/requirements and collaborates with the HAI Program Development and Management Office (PDMO) to procure and/or develop and lead training modules as directed by the Center for Measurement and Health Data Analytics.
  • Leads data risk assessments to mitigate and/or expose data quality and/or security issues in collaboration with the PDMO and Director of Health Information.
  • Identifies and troubleshoots unanticipated data problems or unexpected results and provides solutions to resolve identified concerns.
  • Provides consultation, as needed, regarding optimal statistical methods and analysis designs.
  • Performs advanced statistical analysis with guidance from the Director - Center for Measurement and Health Data Analytics
  • Provides consultation and support for HAI project team members in data analysis and visualization best practices, and new and current technology.
  • Leads the development of detailed reports that can be readily understood, using best practices in data visualization and statistics.
  • Participates in high-level stakeholder meetings to understand stakeholder priorities and develop potential solutions as required.
  • Develops quality assurance processes and protocols in collaboration with the PDMO.
  • Conducts and overseas predictive data analytics using machine learning
  • Conducts and overseas geo-spatial analytics
  • Serves as an HAI representative and liaison to the DoHS for the planning and performance of projects, programs and activities involving health data analytics and program evaluation.
  • Facilitates communication and efficient collaboration between research partners at the Health Affairs Institute and the staff of the DoHS.
  • Ensures that data analytic and research/evaluation activities are compliant with Health Affairs Institute and University-level policies for the responsible conduct of research as well as federal, and state policies.
  • Provides consultation to faculty and government partners regarding preparation of research proposals, design and methodology, data analytics and interpretation of results.
  • Identifies opportunities for potential collaborations between the Health Sciences Center and the DoHS.
  • Prepares reports as required by the University, the Health Sciences Center administration, and external agencies. Communicates results of analytic projects and program evaluations with relevant staff of the DoHS.
  • Conducts or directs special projects as assigned. Acts in other matters and capacities as delegated by the Center for Measurement and Health Data Analytics for the Health Affairs Institute.

Qualifications
  • PhD in health-related field required.
  • A minimum of three (3) years of experience in the folllowing:
    • Record of research and achievement in health outcomes and policy research (health services research, public health informatics, health policy, clinical outcomes) as evidenced by publications and a sustained research program.
    • Experience in using Artificial Intelligence in data analytics
    • Experience and knowledge in predictive analytics using machine learning
    • Experience conducting research/evaluation within the academic and governmental sectors.
    • Good knowledge in Medicaid Claims data and adequate knowledge in medical coding.
    • Experience in conducting in-house training

Knowledge, Skills and Abilities
  • Extensive knowledge and experience in utilizing large health databases for research, program evaluation, and policy development.
  • Extensive knowledge in machine learning
  • Extensive knowledge in using Artificial Intelligence in data analytics
  • Ability to project and maintain a positive and collaborative attitude.
  • Record of accomplishments in the area of health data analytics.
  • Strong ability to communicate goals, methods, and results of research initiatives with key stakeholders.
  • Demonstrated proficiency in the use of standard software packages such as SAS or R
  • Good knowledge in handling mortality data
  • Experience working with Medicaid Claims data
  • Training and facilitation skills
  • Strong understanding of Data Security and Compliance - particularly with HIPAA and PHI data access and storage

  • Valid Driver's License and ability to travel on an intermittent basis if/when required.

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