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Health Data Analytics Jobs (NOW HIRING)

1199SEIU Funds

Health Data Analyst II

Manhattan, NY · Hybrid

... Analytics, or a related field required Minimum three (3) years' experience managing relational databases to include database management and data analysis Experience working in the Health Care ...

LMI

Senior Health Data Analyst

Tysons, VA

$92K - $158K/yr

Successful Senior Health Policy Data Analyst demonstrate competency in health data analysis, health policy, project execution, critical thinking, and relationship managementwhile upholding the ...

1199SEIU Funds

Health Data Analyst II

Manhattan, NY · Hybrid

... Analytics, or a related field required Minimum three (3) years' experience managing relational databases to include database management and data analysis Experience working in the Health Care ...

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How much do health data analytics jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for health data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 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.

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 offers strong job prospects, competitive salaries, and opportunities to work with tools like SQL, Python, and electronic health records systems. Professionals in this field often need a background in health informatics, statistics, or data science and may pursue certifications to enhance their skills.

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.

What degree do you need to be a health data analyst?

A health data analyst typically needs at least a bachelor's degree in health informatics, statistics, data science, or a related field. Many employers prefer candidates with a master's degree or higher, along with skills in data analysis tools like SQL, R, or Python, and knowledge of healthcare systems and regulations.

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.
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What states have the most Health Data Analytics jobs? States with the most job openings for Health Data Analytics jobs include:
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Health Data Analytics jobs near you
Infographic showing various Health Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Medical Economist/Health Data Analyst

Medical Economist/Health Data Analyst

Blue Cross and Blue Shield of Nebraska

Omaha, NE • On-site, Remote

Full-time

Re-posted 8 days ago

Blue Cross & Blue Shield Of Nebraska rating

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

183rd of 281 rated insurance

Job description

At Blue Cross and Blue Shield of Nebraska, we are a mission-driven organization dedicated to championing the health and well-being of our members and the communities we serve.

Our team is the power behind that promise. And, as the industry rapidly evolves and we seek ways to optimize business processes and customer experiences, there's no greater time for forward-thinking professionals like you to join us in delivering on it! As a member of Team Blue, you'll find purpose, opportunities and the support you need to build a meaningful career and make a powerful impact in our community.

The ideal candidate will live within driving distance of the Omaha, Nebraska office. This position allows remote flexibility but will have 2-3 days per week in the office.
The Medical Economist (Health Data Analyst III) serves on a highly collaborative Data Analytics team delivering health data analytics and informatics for groups, providers, members, and leadership. As a member of the team, you will act as an analytical subject matter expert in understanding and interpreting the business impacts of healthcare data. Your focus will be on extracting, preparing, analyzing, and interpreting data to provide actionable insights for internal and external stakeholders, while mentoring junior analysts. You will also lead economic modeling and cost-effectiveness analysis to support strategic decision-making and value-based care initiatives.

What You'll Do:

Healthcare Economics and Advanced Data Analytics

  • Provide analytic solutions for enterprise stakeholders via reporting, research, predictive modeling, and BI dashboard development.
  • Develop and maintain models for utilization trends
  • Partner with stakeholders to analyze trends in employer group reporting, provider payment methodologies, and care management analytics.
  • Gather business requirements, extract and prepare data independently, and deliver high-quality analysis for decision support.

Strategic Consulting & Collaboration

  • Serve as a business consultant to multiple areas, leveraging deep understanding of data and operations.
  • Actively participate in brainstorming sessions, design reviews, and quality reviews to ensure best practices in analytics and data strategy.
  • Provide strategic input on data architecture and analytic standards.
  • Lead knowledge-sharing activities and contribute to the Data Integration Community of Practice.
  • Present analyses to internal and external stakeholders, translating complex data into clear, actionable insights.
  • Tell a compelling story with data to influence strategic decisions.

    To be considered for this position, you must have:

    • Bachelor's degree in Economics, Statistics, Mathematics, Health Care Management, or related field (Master's preferred).5+ years in healthcare analytics, medical economics, or actuarial analysis.
    • Data Access & Integration:Advanced SQL, ETL/ELT pipelines (Azure Data Factory, dbt), PySpark/Spark SQL.
    • Cloud & Platforms:Azure Synapse, Databricks, SQL Server; Git for version control.
    • Analytics & Econometrics:Python, R, cost-effectiveness analysis, risk adjustment, forecasting.
    • BI & Visualization:Power BI (DAX, Power Query), Databricks Dashboards, dashboard design, KPI development.
    • Data Governance:Data dictionaries, lineage, HIPAA compliance, quality checks.
    • Healthcare Domain Knowledge:Claims data, provider reimbursement models, value-based care, HEDIS/STARS metrics.
    • Mastery of Health Insurance Operations knowledge including claims, enrollment, payment mechanisms, care management, employer reporting and the ability to stay current on healthcare industry knowledge.
    • Successful experience working in a cross-functional environment.
    • Experience effectively communicating with stakeholder groups.
    **BCBSNE is unable to sponsor or take over sponsorship of an employment visa at this time**
    #LI-DNI

    Learn more about what makes BCBSNE such an exceptional place to work by visiting NebraskaBlue.com/Careers.

    We strongly believe that diversity of experience, perspective and background will lead to a better workplace for our employees and a better product for our customers and members.

    What Blue Cross & Blue Shield Of Nebraska employees say

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