Harnham is partnering with a fast-growing, private equity-backed healthcare organization that is transforming how care is delivered through data and AI. The Senior Analytics Engineer will build and scale a modern analytics foundation, enabling self-service analytics and AI-driven insights to improve outcomes for patients in long-term care.
Responsibilities:
- Build and scale dbt models and data transformations
- Own the semantic/metrics layer across the business
- Translate business needs into clean, scalable data models
- Enable: Self-service analytics, BI tools, AI/LLM querying (agentic analytics)
- Partner cross-functionally with stakeholders, data engineering, and BI teams
Requirements:
- 6–8+ years across data engineering / analytics engineering
- Strong SQL and dbt experience (macros, snapshots, metrics)
- Deep experience with healthcare data: Claims, EHR/EMR HL7 / FHIR
- Strong background in data modeling and semantic layers
- Snowflake or Databricks
- Looker / LookML
- ThoughtSpot, Sigma, or similar tools
- Experience with AI/analytics tooling