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Quality Population Health Analyst Jobs (NOW HIRING)

Population Health Data Engineer

Rex, GA ยท On-site

$106K - $127K/yr

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 ...

Collaborative environment with clinical, operational, and quality leaders * Meaningful impact on ... Ability to analyze performance data and implement operational improvements * Commitment to patient ...

Collaborative environment with clinical, operational, and quality leaders * Meaningful impact on ... Ability to analyze performance data and implement operational improvements * Commitment to patient ...

$65K - $75K/yr

Population Health Manager Full Time Management New York, NY, US 1 Attachments 4 days ago ... QA Plan * Assist Director of Medicine in the performance of root cause analyses and recommends ...

Monday-Friday Job Summary The Population Health Coordinator supports value-based care and quality improvement initiatives by identifying and helping resolve gaps in patient care. This position ...

... quality measures, care management and transitions of care * Practical data analysis skills ... Standardize population health workflows, including risk stratification, care management ...

Showing results 41-60

Quality Population Health Analyst information

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How much do quality population health analyst jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for quality population health analyst in the United States is $32.41, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $37.02 per hour, depending on experience, location, and employer.

What is the difference between Quality Population Health Analyst vs Data Analyst in healthcare?

AspectQuality Population Health AnalystData Analyst in healthcare
Required credentialsBachelor's degree in public health, healthcare administration, or related field; certifications like CPHQ beneficialBachelor's degree in statistics, data science, or related field; certifications vary
Work environmentHealthcare organizations, public health agencies, clinicsHospitals, healthcare companies, research institutions
Employer and industry usageUsed to improve patient outcomes, monitor quality metrics, and ensure complianceUsed to analyze healthcare data, support decision-making, and optimize operations

The main difference is that a Quality Population Health Analyst focuses on analyzing health outcomes and quality metrics to improve patient care, while a Data Analyst in healthcare handles broader data analysis tasks across various healthcare data sets. Both roles require strong analytical skills, but their focus areas and certifications differ slightly.

What cities are hiring for Quality Population Health Analyst jobs?

Cities with the most Quality Population Health Analyst job openings:

What are popular job titles related to Quality Population Health Analyst jobs?

For Quality Population Health Analyst jobs, the most frequently searched job titles are:

Infographic showing various Quality Population Health Analyst job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $67,422 per year, or $32.4 per hour.

Population Health Data Engineer

Rex, GA โ€ข On-site

$106K - $127K/yr

Full-time

Posted 15 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.