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Epic Data Analyst Jobs in California (NOW HIRING)

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Data Engineer

Irvine, CA · On-site

$100K - $115K/yr

This role partners with business and technical stakeholders to deliver trusted healthcare data, including Epic data, for reporting, analytics, and AI-driven initiatives. The engineer is responsible ...

Epic Certified Resolute HB Analyst Job Summary: The Epic Resolute Hospital Billing (HB) Analyst is ... Knowledge of SQL, reporting tools, or data analysis * Familiarity with healthcare compliance ...

... Epic) and other relevant software in support of its overall mission. This is a temporary-to ... The Data Analyst role will work with San Diego PACE Leadership team to understand the contents of ...

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PACE Data Analyst (On-Site)

San Diego, CA · On-site

$39.95 - $51.96/hr

... Epic) and other relevant software in support of its overall mission. This is a temporary-to ... The Data Analyst role will work with San Diego PACE Leadership team to understand the contents of ...

... Epic) and other relevant software in support of its overall mission. This is a temporary-to ... The Data Analyst role will work with San Diego PACE Leadership team to understand the contents of ...

New

... Epic) and other relevant software in support of its overall mission. This is a temporary-to ... The Data Analyst role will work with San Diego PACE Leadership team to understand the contents of ...

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Epic Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do epic data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for epic data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is an Epic Data Analyst?

An Epic Data Analyst is responsible for analyzing, managing, and optimizing healthcare data within the Epic electronic health record (EHR) system. They use SQL, reporting tools, and Epic modules to generate insights that support clinical and operational decision-making. This role involves data extraction, validation, and visualization to improve patient care and healthcare efficiency. Analysts often collaborate with IT, clinicians, and administrators to ensure data accuracy and usability. Epic certification in relevant modules may be required for this position.

What are the typical daily responsibilities of an Epic Data Analyst?

Epic Data Analysts are responsible for collecting, analyzing, and interpreting healthcare data from Epic systems to support a variety of operational, clinical, and administrative initiatives. On a typical day, you may collaborate with clinicians, IT staff, and managers to define reporting requirements, extract and validate data, and generate dashboards or performance reports. You’ll also troubleshoot data discrepancies, ensure the accuracy of reports, and support special projects such as process improvement initiatives or regulatory reporting. This role often requires a mix of independent analysis and teamwork, making strong communication and organizational skills important for success.

What are the key skills and qualifications needed to thrive as an Epic Data Analyst?

To thrive as an Epic Data Analyst, you need a strong background in data analysis, healthcare workflows, and electronic health record (EHR) systems, typically supported by a related degree and experience with healthcare data. Proficiency with Epic systems (such as Clarity or Caboodle), database querying languages like SQL, and Epic certification are highly valuable in this role. Attention to detail, strong problem-solving abilities, and effective communication skills help analysts collaborate with clinical and IT teams to translate data needs into actionable insights. These competencies are essential for ensuring accurate data reporting and supporting decision-making in complex healthcare environments.

Are Epic Data Analysts in demand?

Epic Data Analysts are in high demand due to the increasing adoption of Epic electronic health record systems in healthcare. They are valued for their skills in data management, reporting, and system optimization, often requiring knowledge of Epic tools and certifications. The role offers strong job prospects as healthcare organizations continue to prioritize data-driven decision-making.

What does an Epic Data Analyst do?

An Epic Data Analyst specializes in managing and analyzing healthcare data within the Epic electronic health record system. They extract, interpret, and report data to support clinical and operational decision-making, often using tools like SQL and Epic's reporting modules. Strong analytical skills and knowledge of healthcare workflows are essential for this role.

What are the most commonly searched types of Epic Data Analyst jobs in California?

The most popular types of Epic Data Analyst jobs in California are:

What are popular job titles related to Epic Data Analyst jobs in California?

For Epic Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Epic Data Analyst jobs in California look for?

The top searched job categories for Epic Data Analyst jobs in California are:

What cities in California are hiring for Epic Data Analyst jobs?

Cities in California with the most Epic Data Analyst job openings:

Infographic showing various Epic Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

$119K - $144K/yr

Full-time

Posted 9 days ago


Job description

Population Health Data Engineer

We are seeking a skilled Population Health Data Engineer with deep expertise in Epic data ecosystems and healthcare analytics. This role will focus on designing, building, and optimizing data pipelines and models to support population health, quality of care and claims analytics.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines supporting population health, claims analytics, and reporting.
  • Work extensively with Epic data sources including Registries, Rosters, Chronicles, Clarity, and Caboodle.
  • Integrate clinical and claims data to support longitudinal patient views and advanced analytics.
  • Develop data models for population health use cases including quality measures, risk stratification, utilization, and care management analysis.
  • Support development and operationalization of risk scoring data models and analytics (e.g., MARA, HCC, RAF).
  • Process and transform healthcare claims data (medical and pharmacy) for analytics and reporting.
  • Work with Milliman MedInsight data structures to support payer-provider analytics and efficiency benchmarking.
  • Build and optimize ELT pipelines using modern cloud platforms.
  • Collaborate with healthy planet, efficiency, quality, clinical, and analytics teams to translate business needs into technical solutions.
  • Ensure data quality, governance, and compliance with healthcare regulations (e.g., HIPAA).
  • Optimize performance of large-scale datasets and queries.

Required Qualifications

  • Strong hands-on experience with Epic systems, including:
    • Epic Registries
    • Chronicles data structures
    • Hyperspace or Hyperdrive environments
    • Clarity and Caboodle data models
  • Experience with modern data engineering tools and platforms:
    • Snowflake (data warehousing)
    • DBT (data transformation and modeling)
    • Dynamic Tables in Snowflake
  • Solid understanding of healthcare domain concepts, including population health and value-based care.
  • Experience with healthcare claims processing (medical and pharmacy claims).
  • Hands-on experience with Milliman MedInsight data models and analytics workflows.
  • Strong SQL and data modeling expertise.
  • Experience building and maintaining data pipelines.

Key Skills

  • Population Health & Risk Analytics
  • Healthcare Data Modeling (Clinical and Claims)
  • Epic Data Ecosystem Expertise
  • Snowflake & DBT
  • SQL & Performance Optimization
  • Data Governance & Compliance

Education & Experience

  • Bachelor's or Master's degree in Computer Science, Health Informatics, Data Engineering, or related field.
  • 6+ years of experience in data engineering, with strong preference for healthcare, payer, or population health analytics experience.