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Population Health Data Analyst Jobs in California

Stanford University

Research Data Analyst 2

Stanford, CA · On-site

$108K - $128K/yr

The Center for Population Health Sciences at Stanford University School of Medicine is seeking a Research Data Analyst 2 for data management and analysis work focused on population health. The ...

LIBERTY DENTAL

We are seeking a Population Health Integrations Analyst to lead the development and execution of ... Utilize data analytics, predictive indicators, and utilization trends to identify target ...

SolluCIO Partners

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Support initiatives in population health, quality improvement, and value-based care. Serve as a subject matter expert on data definitions, KPIs, and analytical methodologies. Train end users on ...

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All JobsPopulation Health Data Analyst JobsPopulation Health Data Analyst Jobs in California

Population Health Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

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

As of Sep 3, 2026, the average yearly pay for population health 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 does a population health data analyst do?

A Population Health Data Analyst collects, processes, and interprets health-related data to identify trends, outcomes, and areas for improvement in patient care and community health. They use statistical analysis and data visualization tools to help healthcare organizations make informed decisions about resource allocation, policy development, and preventive strategies. Their work supports efforts to improve public health, reduce costs, and enhance the quality of care provided to various populations.

What are the key skills and qualifications needed to thrive as a population health data analyst, and why are they important?

To thrive as a Population Health Data Analyst, you need a strong background in statistics, public health, and data analysis, typically supported by a degree in public health, statistics, or a related field. Familiarity with data analytics tools like SQL, SAS, R, or Python, as well as experience with healthcare databases and data visualization platforms such as Tableau or Power BI, is essential. Strong problem-solving, attention to detail, and effective communication skills set top analysts apart by enabling them to interpret complex data and present actionable insights. These skills and qualities are crucial for accurately assessing population health trends and supporting data-driven healthcare decision-making.

What are some common challenges faced by population health data analysts when integrating data from multiple sources?

Population Health Data Analysts often encounter challenges related to data standardization, data quality, and interoperability when integrating information from diverse sources such as electronic health records, claims databases, and public health registries. Each system may use different formats, coding standards, or collection methods, requiring analysts to spend significant time cleaning and harmonizing data before analysis. Collaborating closely with IT teams, clinical staff, and external partners is crucial for resolving data discrepancies and ensuring accurate, actionable insights. Addressing these challenges helps support effective population health management and informs decision-making for healthcare organizations.

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

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

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

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

What cities in California are hiring for Population Health Data Analyst jobs?

Cities in California with the most Population Health Data Analyst job openings:

Population Health Data Analyst jobs near you
Infographic showing various Population Health Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Population Health Data Engineer

Software Technology Inc

Encino, CA • On-site

$119K - $144K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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.

Apply