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Health Data Analytics Jobs in Virginia (NOW HIRING)

Health Data Analytics Consultant

Reston, VA ยท On-site

$92 - $164/hr

The Health Data Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SQL or Python experience as well as knowledge of statistics and ...

Health Data Engineer - Mid

Tysons, VA ยท On-site

$115K - $139K/yr

The ideal candidate will bring a strong background in data engineering and analytics, as well as familiarity with healthcare data and compliance requirements. You will play a critical role in ...

Knowledge of data analytics in the heathcare industry. Software languages and big data technologies needed include: Java, Python, R, C#, C, SAS, analytic engines, Hadoop, parallelized analytic ...

Health Data Engineer - Mid

Tysons, VA ยท On-site

$115K - $139K/yr

The ideal candidate will bring a strong background in data engineering and analytics, as well as familiarity with healthcare data and compliance requirements. You will play a critical role in ...

Health Data Engineer - Mid

Tysons, VA

$115K - $139K/yr

The ideal candidate will bring a strong background in data engineering and analytics, as well as familiarity with healthcare data and compliance requirements. You will play a critical role in ...

Health Data Engineer - Mid

Tysons, VA

$115K - $139K/yr

The ideal candidate will bring a strong background in data engineering and analytics, as well as familiarity with healthcare data and compliance requirements. You will play a critical role in ...

Health insurance, well-being programs HOW YOU WILL CONTRIBUTE TO THE TEAM Regional Adoption ... Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ...

Health insurance, well-being programs HOW YOU WILL CONTRIBUTE TO THE TEAM Regional Adoption ... Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ...

This high performing team works with clients to implement the full spectrum of data analytics and ... Desire to work with health data analytics, information governance, information management or ...

New

If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data ... Analytics We're looking for someone who can sit between the business and the technical side and ...

If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data ... Analytics We're looking for someone who can sit between the business and the technical side and ...

If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data ... Analytics We're looking for someone who can sit between the business and the technical side and ...

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Health Data Analytics information

See Virginia salary details

$24

$54

$93

How much do health data analytics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for health data analytics in Virginia is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

What is health data analytics?

Health data analytics is the process of examining large sets of healthcare data to uncover patterns, trends, and insights that can help improve patient outcomes and healthcare operations. Professionals in this field use statistical, computational, and analytical methods to interpret data from electronic health records, clinical trials, claims, and other sources. The goal is to support evidence-based decision making, optimize resource allocation, and enhance the quality of care. Health data analysts often work in hospitals, research institutions, insurance companies, and public health organizations.

What are the key skills and qualifications needed to thrive as a health data analyst?

To thrive as a Health Data Analyst, you need a solid background in statistics, data analysis, and health informatics, often supported by a degree in a related field such as public health, statistics, or computer science. Proficiency with analytical tools like SQL, Python, R, and healthcare data systems (e.g., EHRs, HL7) is typically required, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help translate complex data into actionable healthcare insights. These skills enable analysts to improve patient outcomes, support decision-making, and drive efficiency within healthcare organizations.

What are some common challenges faced by professionals working in health data analytics, and how can they be managed?

Professionals in Health Data Analytics often encounter challenges such as managing large volumes of sensitive patient data, ensuring data privacy and compliance with regulations like HIPAA, and integrating data from multiple sources with varying formats and quality. Addressing these issues requires strong technical skills, attention to detail, and collaboration with IT, clinical, and compliance teams. Continuous learning about new analytics tools and regulatory changes also helps professionals stay effective and maintain data integrity.

What is the difference between Health Data Analytics vs Health Data Analysis?

AspectHealth Data AnalyticsHealth Data Analysis
Required SkillsData analysis, statistical skills, knowledge of healthcare dataData interpretation, statistical skills, healthcare knowledge
Tools & SoftwareAnalytics platforms, programming languages (Python, R)Excel, statistical software, visualization tools
Work EnvironmentData teams, healthcare organizations, research institutionsHealthcare providers, research settings, hospitals
FocusExtracting insights from large datasets, predictive modelingInterpreting data results, reporting findings

Health Data Analytics involves using advanced tools and techniques to extract insights from large healthcare datasets, often focusing on predictive modeling and data-driven decision-making. Health Data Analysis emphasizes interpreting healthcare data to inform clinical or operational decisions, typically involving statistical analysis and reporting. Both roles require healthcare knowledge and analytical skills but differ mainly in scope and complexity.

How do I become a health data analyst?

To become a health data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like SQL, Excel, and statistical software, along with understanding healthcare systems and data privacy regulations, is essential. Gaining relevant experience through internships or certifications can also improve job prospects.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing medical and patient data to improve healthcare outcomes and efficiency. It requires skills in statistics, data management, and tools like SQL and Python, with certifications often enhancing job prospects. The demand for professionals in this area is increasing due to the expansion of electronic health records and data-driven decision making.

What do data analysts do in healthcare?

Health data analysts collect, process, and interpret healthcare data to identify trends, improve patient outcomes, and support decision-making. They use tools like Excel, SQL, and statistical software, and often work with electronic health records and healthcare databases to ensure data accuracy and compliance with privacy regulations.

What job categories do people searching Health Data Analytics jobs in Virginia look for?

The top searched job categories for Health Data Analytics jobs in Virginia are:

What cities in Virginia are hiring for Health Data Analytics jobs?

Cities in Virginia with the most Health Data Analytics job openings:

Infographic showing various Health Data Analytics job openings in Virginia as of August 2026, with employment types broken down into 2% As Needed, 70% Full Time, 23% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $112,896 per year, or $54.3 per hour.

Health Data Analytics Consultant

Reston, VA โ€ข On-site

Texas Health Institute
Non-Profitsย โ€ขย 11 - 50 employees

$92 - $164/hr

Other

Retirement

Posted 12 days ago


Job description

For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us to start Caring. Connecting. Growing together.

Optum Serve Consulting/The Lewin Group (OSC/Lewin), a premier national health care and human services consulting and policy analysis firm, brings 50 years of experience finding answers and solving problems for leading organizations in the public, non-profit, and private sectors.

In the wide-ranging field of health human services consulting, OSC/Lewin provides both depth and breadth of expertise. Currently, OSC/Lewin has more than 250 consultants drawn from industry, government and academia. They all share a solid commitment to OSC/Lewin's core values of objectivity, integrity, analytical innovation, vision, and dedication to client satisfaction.

At OSC/Lewin, we help federal, state, and other decision-makers strengthen health and human services programs, make informed policy choices, and implement critical initiatives. The Health Data Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SQL or Python experience as well as knowledge of statistics and research methodology.

Youโ€™ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Schedule:

Monday - Friday, daylight

Primary Responsibilities:
  • Perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models
  • Support the development of payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs
  • Work with clients to verify analysis parameters and specifications
  • Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy
  • Efficiently query large databases of healthcare claims and eligibility data
  • Write detailed specifications and documentation of data processing and analytical steps
  • Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures
  • Maintain a consistently high degree of accuracy and attention to detail in all tasks
  • Work effectively and cooperatively as a member of a project teams
  • Prepare data and information for internal as well as external use, contribute to reports, and assist with project coordination tasks

Youโ€™ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:
  • 4+ years of experience in health/analytics related field
  • 4+ years of experience using Python, SQL or R in a research, consulting, or business environment
  • Experience working with medical claims and enrollment data in large data warehouse environments
  • Experience in preparing data and information and contributing to reports and presentations
  • Experience working on implementing or evaluating value-based payment programs
  • Experience working in Snowflake or Databricks environments
  • Familiarity with healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts)
  • Proven excellent oral and written communication skills, solid interpersonal skills, and a focus on meeting deadlines
Preferred Qualifications:
  • Experience conducting statistical analysis to inform health policy
  • Experience with databases having complex structures and relationships, such as the Integrated Data Repository or Chronic Conditions Warehouse
  • Experience managing and analyzing large datasets using SAS grid and other parallel processing techniques
  • Experience with other software such as Excel (e.g., pivot tables, VBA)
  • Understanding of Medicare and Medicaid payment methodologies

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, youโ€™ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline:

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

OptumCare is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

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