Epic Clarity Data Analyst

Habitat Health•San Francisco, CA

39d•$90,000 - $110,000

About The Position

At Habitat Health, we envision a world where older adults experience an independent and joyful aging journey in the comfort of their homes, enabled by access to comprehensive health care. Habitat Health provides personalized, coordinated clinical and social care as well as health plan coverage through the Program of All-Inclusive Care for the Elderly (“PACE”) in collaboration with our leading healthcare partners, including Kaiser Permanente. Habitat Health offers a fully integrated experience that brings more good days and a sense of belonging to participants and their caregivers. We build engaged, fulfilled care teams to deliver personalized care in our centers and in the home. And we support our partners with scalable solutions to meet the health care needs and costs of aging populations. Habitat Health is growing, and we’re looking for new team members who wish to join our mission of redefining aging in place. To learn more, visit https://www.habitathealth.com. Start date: 2/09/2026

Requirements

3+ years of experience working directly with Epic’s Clarity data model
Expert level understanding of Clarity, Slicer Dicer, and Workbench (this is a MUST!)
Highly proficient in SQL and at least 1 dashboard development tool
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

Nice To Haves

Experience developing in a modern data stack using Databricks, Python, and/or Airflow
Experience working in early-stage or rapidly scaling healthcare organizations
Experience with Medicare Advantage, PACE, and / or dual eligible populations

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!