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Intern Epic Data Analyst Jobs (NOW HIRING)

Nordic

The Epic Business intelligence developers (BIDs) create analytics content for end users and third parties who require Epic data tools or exports. This role is responsible for designing, developing ...

New

PSECU

Data Analyst Intern

Harrisburg, PA

The Data Analyst Intern will report directly to the Business Intelligence Manager and is responsible for creating standard or ad hoc queries or reports to extract data from disparate databases or ...

Nordic

The Role Epic Business intelligence developers (BIDs) create analytics content for end users and third parties who require Epic data tools or exports. This role is responsible for designing ...

AARP

Data Analyst Intern

Washington, DC · On-site

$28/hr

As a Data Analyst Intern, you will have the opportunity to work closely with our dedicated team, gaining hands-on experience in data analysis and data management within advocacy for social justice ...

Astec Industries

Data Analyst Intern

Chattanooga, TN · On-site

Hybrid Chattanooga ABOUT THE POSITION The Data Analyst Intern will primarily support Astec Industries' subsidiary companies by collecting and organizing procurement-related data to assist with ...

ZURU

Data Analyst Intern

El Segundo, CA · On-site

$20 - $25/hr

We're looking for a data analyst intern to join our LA based team! If you're a problem-solving pro, an analytical thinking, a team player and can speak the language of data - we want to hear from you!

ZURU

Data Analyst Intern

Los Angeles, CA · On-site

$20 - $25/hr

We're looking for a data analyst intern to join our LA based team! If you're a problem-solving pro, an analytical thinking, a team player and can speak the language of data - we want to hear from you!

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How much do intern epic data analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for intern epic data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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

To thrive as an Intern Epic Data Analyst, you need a solid understanding of data analysis, healthcare workflows, and proficiency in Excel or SQL, usually supported by coursework in informatics or related fields. Familiarity with Epic Systems, data visualization tools like Tableau, and potentially HIPAA compliance training are typical technical requirements. Strong attention to detail, problem-solving skills, and effective communication help interns collaborate with clinical and IT teams. These capabilities are essential to ensure accurate data reporting, support decision-making, and contribute to improved healthcare outcomes.

What does an intern Epic Data analyst do?

An Intern Epic Data Analyst assists in collecting, analyzing, and interpreting healthcare data from the Epic electronic health record (EHR) system. Their responsibilities typically include generating reports, supporting data-driven decision-making, and helping to maintain data accuracy and integrity. They often work under the guidance of experienced analysts, learning to use Epic reporting tools and contributing to projects that improve patient care and operational efficiency. This internship provides valuable hands-on experience in both healthcare data analysis and the use of Epic software, which is widely used in the healthcare industry.

What are some common challenges faced by an intern Epic Data analyst during their internship?

As an Intern Epic Data Analyst, one common challenge is becoming familiar with the complexities of the Epic electronic health record (EHR) system, which requires learning both technical workflows and healthcare terminology. Interns may also find it challenging to balance multiple projects while ensuring data accuracy and patient privacy. Collaboration with clinicians and IT staff can sometimes require strong communication skills to translate technical findings into actionable insights. However, support from experienced analysts and structured onboarding can help overcome these hurdles and provide a valuable learning experience.
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Data Architect [ Must Have EPIC Caboodle $ Population Health ]

STI

Remote

$65.25 - $84/hr

Full-time

Re-posted 19 days ago

Job description

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