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Health Data Analytics Jobs in Virginia (NOW HIRING)

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Experience supporting HHS, NIH, FDA, CMS, CDC, or other health-focused federal environments ... Additional cloud, data, analytics, AI/ML, cybersecurity, Agile, ITIL, DAMA, CDMP, or project ...

Ra

Health Analyst

Arlington, VA

As a healthcare analyst, you will be performing research/analysis based on the client data followed by contribution in internal projects. On the whole your going to be a passionate player in using ...

Ra

Healthcare Analyst

Arlington, VA

As a healthcare analyst, you will be performing research/analysis based on the client data followed by contribution in internal projects. On the whole your going to be a passionate player in using ...

CGI

Data Analytics Developer, Senior

Arlington, VA · On-site

Data Analytics Developer, Senior Category: Project Management Main location: United States ... You'll be supported by leaders who care about your health and well-being and provide you with ...

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All JobsHealth Data Analytics JobsHealth Data Analytics Jobs in Virginia

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$24

$54

$93

How much do health data analytics jobs pay per hour?

As of Jun 27, 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.

How much do health data analysts earn?

Health data analysts typically earn a median annual salary of around $65,000 to $80,000, depending on experience, education, and location. Professionals with advanced skills in statistical software, data management, and healthcare knowledge can earn higher salaries, especially in specialized or senior roles.

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

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.

Is healthcare analytics a good career?

Healthcare analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It requires skills in data management, statistical analysis, and familiarity with tools like SQL and Excel, making it a valuable and in-demand career option in the healthcare industry.

What does a data analyst do in healthcare?

A healthcare data analyst collects, processes, and interprets medical and operational data to improve patient outcomes, optimize healthcare delivery, and support decision-making. They use tools like Excel, SQL, and statistical software to identify trends, create reports, and ensure data accuracy, often working closely with clinicians and administrators.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts play a key role in interpreting medical data, and while AI tools can automate routine tasks like data processing and basic analysis, they are unlikely to fully replace analysts. Human expertise is essential for complex decision-making, contextual understanding, and ensuring data accuracy in healthcare environments.
What are popular job titles related to Health Data Analytics jobs in Virginia? For Health Data Analytics jobs in Virginia, the most frequently searched job titles are:
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:
Health Data Analytics jobs near you
Occupational Safety and Health Data Analyst

Occupational Safety and Health Data Analyst

ERG

Arlington, VA • On-site, Remote

$58K - $70K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 7 days ago

Job description

ERG is a research and consulting firm that provides a wide range of support to federal, state, and commercial clients. ERG offers multidisciplinary teams with nationally recognized skills in engineering, science, economics, public health, informational technology, and communications. We hire people with the best minds and then provide them with a vibrant and flexible environment in which to develop their careers. The qualified individual must be highly motivated with the skills to prioritize, perform, and communicate effectively in a fast-paced environment.
ERG is seeking a curious, detail-oriented analyst to support national occupational safety and health programs by analyzing and classifying real-world workplace injury and illness data. Your work directly supports the Occupational Safety and Health Administration's (OSHA) efforts to understand injury and illness trends and improve worker safety across the U.S. This entry- or mid-level role is ideal for someone who enjoys analytical work, applies sound judgement consistently, and is motivated by contributing to real world improvements in worker health and safety. You will analyze work-related fatality, catastrophe, and severe injury or illness records, draft brief incident narratives, and assign case characteristic codes for each using the Bureau of Labor Statistics (BLS) Occupational Injury and Illness Classification System (OIICS).
This position is available part-time (minimum 20 hours/week) or full-time, is fully remote, and includes daily collaboration with a supportive analyst team using Microsoft Teams.
Job Description:
  • Review workplace injury, illness, and fatality records and apply standardized case-classification codes using the Bureau of Labor Statistics (BLS) Occupational Injury and Illness Classification System (OIICS).
  • Exercise thoughtful, independent judgment to accurately classify complex or ambiguous cases while maintaining speed and consistency.
  • Draft brief, clear incident narratives that summarize the circumstances of each case in plain, concise language.
  • Manage multiple work queues and deadlines while maintaining high quality and attention to detail.
  • Collaborate regularly with team members and senior analysts for guidance, quality checks, and knowledge sharing.
  • Contribute to documentation, process improvements, and evolving analytical practices over time.

Experience with occupational health and safety and structured coding (e.g. OIICS, ICD coding) is preferred. However, training for OIICS version 3.03 coding will be provided.
Qualifications and Skills:
  • A bachelor's degree in communications, health/environmental science, statistics, or related field
  • Strong analytical thinking and attention to detail, with the ability to apply rules consistently
  • Excellent writing, editing, and verbal communication skills with the ability to convey complex information clearly and concisely
  • Outstanding time-management and organizational skills with the ability to work independently in a remote environment to accomplish assignments in a timely manner
  • Experience or strong interest in data analysis, public health, occupational safety, epidemiology, or related fields
  • Proficiency in Microsoft Office 365 (Word, Access, Excel, PowerPoint, Teams, and SharePoint)
  • Willingness and ability to learn new software and technical skills as required

Preferred Qualifications:
  • Experience with structured classification or coding systems (e.g., OIICS, ICD, or similar)
  • Experience or coursework in data analysis or data management
  • Familiarity with SAS, R, Power BI, Qlik, or other analytical tools
  • Prior exposure to occupational health, injury or illness surveillance, or public health research

$58,000 - $70,000 a year
ERG offers competitive salaries and excellent benefits, including health and dental insurance, life insurance, long-term disability, educational benefits, FSAs, a generous 401k plan, profit sharing, an EAP, 11-20 paid vacation days per year, 10 paid holidays per year, 56 hours or more of sick leave (based on the state you work in) per year (pro-rated for part-time) and more. The salary range for all positions depends on the years and type of experience.
ERG is an equal opportunity employer and complies with all applicable EEOC regulations. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual preference, national origin, disability, or status as a protected veteran.
Please be aware, the only authentic corporate domain for ERG is https://www.erg.com. ERG may, on occasion, screen applicants via telephone or video interviews via Skype, Teams, GoToMeeting, or another type of video platform. However, any candidate extended a job offer might be asked to meet in person with an ERG employee before providing confidential personal information associated with new employment.
If you're a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access ERG's online application process as a result of your disability. To request accommodation, please contact Human Resources via email at [email protected] or call (781) 674-7293.
ERG fosters a friendly, flexible work environment. ERGers are dedicated to serving clients who are committed to making the world a better place. We promote and recognize principles of fairness and respect in the work we do, the partnerships we foster, and the culture we value both within and outside of our organization.

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