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Weekend Epic Data Analyst Jobs (NOW HIRING)

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Data Systems Manager

Springfield, MA · On-site

$90K - $110K/yr

Epic | Power BI | Team Leadership Role Overview We are seeking a Data Manager to lead data systems, reporting, and analytics efforts within a large, shared Epic environment supporting community ...

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All JobsWeekend Epic Data Analyst Jobs

Weekend Epic Data Analyst information

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$34K

$82.6K

$136K

How much do weekend epic data analyst jobs pay per year?

As of Jul 3, 2026, the average yearly pay for weekend epic data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Epic Data Analyst vs Weekend Tableau Data Analyst?

AspectWeekend Epic Data AnalystWeekend Tableau Data Analyst
Required CredentialsProficiency in Epic data systems, basic data analysis skillsProficiency in Tableau, data visualization, basic data analysis skills
Work EnvironmentHealthcare settings, hospitals, clinicsVarious industries, including healthcare, finance, marketing
Employer & Industry UsageHospitals, healthcare providers using Epic EMROrganizations needing data visualization and reporting
Common Search & ComparisonOften compared based on data analysis tools and healthcare focusCompared for visualization skills and industry applications

The Weekend Epic Data Analyst primarily focuses on analyzing healthcare data within Epic electronic health record systems, requiring familiarity with Epic platforms. In contrast, the Weekend Tableau Data Analyst specializes in creating visual reports using Tableau across various industries. Both roles involve data analysis but differ in tools and industry focus, making them distinct yet related roles for weekend data professionals.

More about Weekend Epic Data Analyst jobs
What cities are hiring for Weekend Epic Data Analyst jobs? Cities with the most Weekend Epic Data Analyst job openings:
What are the most commonly searched types of Epic Data Analyst jobs? The most popular types of Epic Data Analyst jobs are:
What states have the most Weekend Epic Data Analyst jobs? States with the most job openings for Weekend Epic Data Analyst jobs include:
What job categories do people searching Weekend Epic Data Analyst jobs look for? The top searched job categories for Weekend Epic Data Analyst jobs are:
Weekend Epic Data Analyst jobs near you
Infographic showing various Weekend Epic Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 87% Full Time, 3% Part Time, 2% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Population Health Data Engineer

Population Health Data Engineer

Software Technology Inc

Augusta, ME • On-site

$113K - $136K/yr

Other

Posted 11 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.

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