Data Analyst

Posted 70ds ago

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Job Description

Data Analyst using SQL to analyze healthcare data generated in Epic’s EHR. Enabling leadership to make evidence-based decisions through dashboards and data pipelines.

Responsibilities:

  • Use SQL to analyze clinical, operational, financial, and administrative data generated in Epic’s electronic health record (EHR) and practice management (PM) systems and stored in Epic’s back-end Clarity data model.
  • Leverage Epic’s in-app reporting tools including Slicer Dicer, Reporting Workbench (RWB), and Radar to answer data questions from internal Habitat customers in the simplest / easiest / most scalable way possible.
  • Enable leadership to make evidence-based decisions by designing, building, and maintaining business intelligence dashboards and data pipelines using tools such as Power BI, SQL, and Git
  • Work with engineering to design and develop ETL processes that support consistent KPI reporting via Data Marts with clear documentation that codifies our standard “business rules” layer
  • Develop rigorous data quality tests, QC best practices, code reviews / Git pull requests, dashboard release processes, and proper documentation to ensure your work is accurate and clearly communicated
  • Develop detailed clinical logic and code sets for patient cohorts and quality measures including diagnosis groupers, hospital admissions, readmissions, ED visits, SNF visits etc. across a wide range of clinical facts and dimensions
  • Build externally facing reports including PACE-specific measures and CMS / Medicaid regulatory and audit reporting in a scalable manner
  • Work closely with other data team members to ensure you benefit from all the great work happening around you!

Requirements:

  • 3+ years of experience working directly with Epic’s Clarity data model
  • Highly proficient coding in SQL; experience with Git is a plus
  • Strong understanding of healthcare data ontologies including CPT, HCPCS, HCC, ICD-10, NDC, Revenue Codes, Type of Bill, LOINC, UB/HCFA claims, etc.
  • Experience developing longitudinal patient analyses using complex clinical logic
  • Demonstrated experience building dashboards and reports in Power BI or similar platforms
  • Excellent communication skills; able to explain technical concepts to non-technical stakeholders
  • Track record of working in cross-functional teams, ideally in a value-based care, PACE, or managed care environment
  • Strong attention to detail and data quality, with a mindset toward reproducibility and documentation.

Benefits:

  • medical/dental/vision insurance
  • short and long-term disability
  • life insurance
  • flexible spending accounts
  • 401(k) savings
  • paid time off
  • company-paid holidays