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Epic Data Analyst Jobs (NOW HIRING)

Central Health

Data Analyst

Austin, TX

This analyst will act as an Epic subject matter expert for front/back-end Epic reporting ... data driven. -Develop and maintain complex SQL and/ or Python queries to retrieve, join, and ...

IT America

Senior Analyst - Revenue Cycle

Dallas, TX · On-site

$84K - $105K/yr

Proven ability to analyze and interpret Epic revenue cycle data domains (billing, claims, AR, denials, posting, collections) * Advanced working knowledge of Microsoft Excel * Strong analytical skills ...

IT America Inc

Senior Analyst - Revenue Cycle

Dallas, TX · Remote

$87K - $109K/yr

Proven ability to analyze and interpret Epic revenue cycle data domains (billing, claims, AR, denials, posting, collections) * Advanced working knowledge of Microsoft Excel * Strong analytical skills ...

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How much do epic data analyst jobs pay per year?

As of Jun 25, 2026, the average yearly pay for 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.

How to become an Epic data analyst?

To become an Epic data analyst, candidates typically need a bachelor's degree in health informatics, data science, or a related field. Proficiency in Epic's data tools, such as Clarity and Caboodle, along with strong SQL, data analysis, and reporting skills, is essential. Certification in Epic data modules can enhance job prospects and demonstrate expertise in the platform.

How difficult is it to get hired at Epic?

Getting hired as an Epic Data Analyst can be competitive, requiring strong analytical skills, experience with Epic systems or healthcare data, and relevant certifications such as Epic certifications or SQL proficiency. The hiring process often involves multiple interviews, technical assessments, and demonstrating knowledge of healthcare workflows and data management.

What are the key skills and qualifications needed to thrive in the Epic Data Analyst position, and why are they important?

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.

What is an Epic Data Analyst job?

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.

How much are Epic analysts paid?

Epic Data Analysts typically earn between $70,000 and $100,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with specialized skills can earn higher salaries, especially in healthcare environments using Epic systems.

What does an Epic analyst do?

An Epic analyst specializes in implementing, configuring, and maintaining Epic healthcare software systems. They analyze clinical and administrative workflows to optimize system performance and ensure compliance, often working with electronic health records (EHR) and using tools like Epic's Cadence or Chronicles. Strong technical skills, understanding of healthcare processes, and certifications such as Epic certifications are typically required.
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Epic Data Analyst jobs near you
Infographic showing various Epic Data Analyst job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 8% Part Time, 4% Contract, and 4% Nights. 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.
Data Analyst

Data Analyst

Central Health

Austin, TX • On-site

Full-time

Posted 14 days ago

Job description

OverviewCentral Health's Data Analyst will work alongside a team of other collaborative and engaged data analysts, epidemiologists, biostatisticians and data scientists to serve as a key resource for business intelligence, performance, clinical and operational analytics for Central Health. Under the general direction of the Analytics Quality Manager, our Data Analyst is responsible for organizing, analyzing, and reporting on data from large EHR, clinical, financial and enrollment data sets. This analyst will act as an Epic subject matter expert for front/back-end Epic reporting development. They will also assist in the design and validation of datamarts, performance dashboards and other systems that support the needs of an integrated network of physicians, safety net providers and hospitals to advance care that is patient centered, equitable and data driven.Responsibilities-Develop and maintain complex SQL and/ or Python queries to retrieve, join, and summarize data from multiple sources, initially in SQL Server and later within Snowflake.-Develop, validate, and maintain analytical reports, dashboards and visual analytics (e.g., Power BI, Tableau) to communicate findings effectively to stakeholders.-Use analytical reasoning to interpret trends, relationships, and outliers; synthesize findings into actionable insights for business, operational, or clinical teams.-Collaborate with operational, business and clinical units to define metrics, KPIs, and performance indicators aligned with organizational goals and document business rules and transformation logic that support consistent use of data across reports.-Translate complex data into clear insights and visualizations that highlight trends, opportunities, and areas for improvement.-Perform data validation, reconciliation, and spot checks to ensure accuracy and reliability of data migrated from on-prem to cloud systems.-Support the development of automated data pipelines and quality checks in collaboration with data engineers.-Utilize SQL and Python for data querying, modeling, staging, reporting automation.-Create reports and dashboards in the Epic EHR as well as reports and dashboard in Power BI-Leverage Epic Clarity and Caboodle as a primary EHR data source for analysis, ensuring data accuracy and consistency across reporting environments.-Aid in the development and validation of analytic datasets within Epic Caboodle to support enterprise reporting and population health initiatives.-Participate in the development of data dictionaries, metadata documentation, and validation routines.-Identify and troubleshoot data anomalies and irregularities.-Contribute to continuous improvement of data quality and analytic capabilities by identifying process enhancements and automating manual workflows.-Work closely with Data Engineering, Integration, and Governance teams to ensure data definitions, lineage, and access controls are properly maintained.-Become a data subject matter expert (SME) and understand various sources and applications of Central Health data.-Performs other duties as assigned.Qualifications

MINIMUM EDUCATION:

  • Finance, Mathematics, Economics, Statistics, Actuarial Science, Computer Science, Engineering or related quantitative discipline. Hands on experience with healthcare data analysis can substitute for for specific fields of study.

Required Work Experience:

  • 2 years of experience in healthcare, statistics, experimental research, data science, reporting and analytics, economics, or public health.
  • 1 year of experience in SQL (preferably T-SQL) and Python scripting with an intermediate to advanced level of expertise
  • 1 year of experience with Power BI or Tableau. 
Preferred Work Experience:
  • 1 year of experience in report development within Epic EMR using Clarity, Caboodle, SlicerDicer, Reporting Workbench, Radar
  • Familiarity with health care claims processing including billing codes
  • Experience using statistical analysis software such as SAS, R, or Python.
  • 1 year experience in Azure/ Snowflake environment. 
Employment Type: FULL_TIME

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