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Health Informatics Data Analyst Jobs in Virginia Beach, VA

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Health Informatics Data Analyst information

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$40.3K

$81.2K

$118.6K

How much do health informatics data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for health informatics data analyst in Virginia Beach, VA is $81,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $94,900.00 per year, depending on experience, location, and employer.

What is a health informatics data analyst?

A Health Informatics Data Analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, operational efficiency, and decision-making. They work with electronic health records (EHRs), databases, and analytics tools to identify trends and support evidence-based practices. Their role bridges healthcare, IT, and data science, ensuring that data-driven insights enhance care quality and efficiency.

What are typical daily responsibilities for a health informatics data analyst?

As a Health Informatics Data Analyst, your typical day involves gathering, cleaning, and analyzing health data from multiple sources, such as electronic health records and clinical systems. You'll frequently collaborate with healthcare professionals and IT teams to understand data requirements, identify trends, and present findings through reports and data visualizations. Tasks may also include developing and maintaining dashboards, supporting quality improvement initiatives, and ensuring data complies with privacy regulations. This role requires balancing technical tasks with regular communication across interdisciplinary teams.

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

Health Informatics Data Analysts need strong analytical skills, a foundational understanding of healthcare systems, and a background in statistics or information management, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, R, as well as experience with EHR systems and certifications like CAHIMS are highly valued. Attention to detail, problem-solving abilities, and strong communication skills are essential soft skills for excelling in this role. These skills enable analysts to extract meaningful insights from complex healthcare data, ensuring quality improvements and informed decision-making within healthcare organizations.

How do I become a health informatics data analyst?

To become a health informatics data analyst, you typically need a bachelor's degree in health informatics, computer science, or a related field. Gaining skills in data analysis tools like SQL, Excel, and statistical software, along with understanding healthcare systems and data privacy regulations, is essential; some roles may also require certification such as Certified Health Data Analyst (CHDA).

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field within health informatics, involving analyzing medical data to improve patient outcomes and operational efficiency. It requires skills in data management, statistical tools, and knowledge of healthcare systems, making it a promising career with increasing demand and opportunities for advancement.

What does a health informatics data analyst do?

A health informatics data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes and operational efficiency. They use tools like SQL, Excel, and data visualization software, and often work with electronic health records (EHR) systems to support clinical and administrative decision-making.

What are the most commonly searched types of Health Informatics Data Analyst jobs in Virginia Beach, VA?

The most popular types of Health Informatics Data Analyst jobs in Virginia Beach, VA are:

What are popular job titles related to Health Informatics Data Analyst jobs in Virginia Beach, VA?

For Health Informatics Data Analyst jobs in Virginia Beach, VA, the most frequently searched job titles are:

What job categories do people searching Health Informatics Data Analyst jobs in Virginia Beach, VA look for?

The top searched job categories for Health Informatics Data Analyst jobs in Virginia Beach, VA are:

What cities near Virginia Beach, VA are hiring for Health Informatics Data Analyst jobs?

Cities near Virginia Beach, VA with the most Health Informatics Data Analyst job openings:

Infographic showing various Health Informatics Data Analyst job openings in Virginia Beach, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $81,245 per year, or $39.1 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Virginia Beach, VA • On-site, Remote

$35/hr

Temporary, Internship

Posted 4 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

134th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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