Sr. Data Analyst, Reporting
Habitat Health
| Company | Habitat Health |
| Category | Data & Analytics |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 14 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Habitat Health empowers older adults to experience more good days in their homes and communities. Through the Program of All-Inclusive Care for the Elderly (PACE), we provide comprehensive medical care along with support for daily needs such as meals, transportation, and in ‑ home assistance. We deliver coordinated clinical and social care in our centers and directly in participants’ homes, creating a fully integrated experience that brings peace of mind and a true sense of belonging. As we expand our scalable, affordable PACE model to meet the growing and complex needs of aging populations, our mission ‑ driven care teams continue to help participants live well on their own terms.
Habitat Health is supported by leading healthcare organizations and investors including New Enterprise Associates, Kaiser Permanente, and Town Hall Ventures. We are entering a period of significant growth and are looking for exceptional teammates to help us scale a better model of care for older adults. To learn more, visit www.habitathealth.com. Role Scope :
Build scalable, fully automated, enterprise-grade reporting across Operations, Growth (Salesforce), Compliance (Epic Clarity), Health Plan (claims), Risk Adjustment (CMS and Medicaid), and Clinical Quality
Use SQL to answer ad-hoc data questions from internal customers, build report prototypes, and refactor prototypes into analytic pipelines with front-end interfaces that delight your end users
Leverage a range of reporting tools including Power BI, Epic's in-app tools (Slicer Dicer, Reporting Workbench, Radar), Salesforce reports, and Excel to support Habitat's reporting needs
Partner with engineering to design and develop ETL processes that establish clean Data Marts on top of our enterprise data warehouse, including standardized "business rules" layers that ensure consistent KPI reporting across downstream use cases
Own the quality bar for your work by designing data quality tests, leading code reviews and Git pull requests, and defining dashboard release processes / documentation standards that the rest of the team can build on
Develop detailed business and clinical logic including patient cohorts, quality measures, diagnosis groupers, utilization events (admissions, readmissions, ED visits, SNF stays), lookback periods, etc. to ensure KPIs are built, documented, and communicated properly
Build externally facing reports including PACE-specific measures, CMS / Medicaid regulatory submissions, and audit reporting in accordance with standard specifications
Set the technical bar for the reporting function by mentoring other analysts, codifying standards for SQL, reinforcing dashboard design / release processes, creating clean documentation, and raising the bar for everyone's work through close collaboration with analysts, engineers, end users, and SMEs
Qualifications:
3+ years of experience working directly with healthcare data
Highly proficient coding in SQL; experience with Git and dbt 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 cro
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