About the RoleThe role sits at the intersection of data engineering, business intelligence, and healthcare domain knowledge - turning complex source data into reliable, well-documented data products the organization can act on.
This is a hands-on technical role with face-to-face stakeholder responsibility. Analytics Engineers build and maintain data infrastructure while working directly with clinical operations, finance, and leadership to understand requirements and deliver solutions. Moving fluidly between technical execution and user engagement is core to how the role operates.
How the Role OperatesAnalytics Engineers will work closely with clinical & financial operations, other data and analytics team members, and IT / System owners. Day-to-day responsibilities include:
- Building and maintaining data models that serve clinical, operational, and financial reporting needs
- Partnering with clinical operations to understand workflows, validate data logic, and ensure outputs reflect care delivery accurately
- Collaborating with IT and data engineering on data ingestion, system integrations, and platform infrastructure
- Writing and maintaining data tests, documentation, and lineage records
- Translating business questions into structured data requirements and repeatable solutions
- Surfacing data gaps and quality issues proactively to relevant stakeholders
- Building clean, well-documented datasets that enable clinical and ops teams to work independently
Scope and complexity expectations scale with seniority. Each tier represents an increase in both technical depth and organizational impact.
Technical- Architects multi-domain data models for scale, reuse, and performance
- Leads modeling standards, code review, and data testing strategy across the team
- Introduces and governs semantic layer or metrics tooling
- Establishes and enforces data testing strategy across domains - coverage, freshness, referential integrity
- Proficient in cloud data warehouse performance tuning and cost management
- Designs and optimizes data pipeline and ingestion workflows at scale
- Implements data observability and SLA monitoring practices
- Evaluates and onboards new tooling across the data stack
- Designs and maintains semantic layers that expose curated, governed metrics for LLM-powered natural language querying and AI-driven data analysis tools
e.g. + dbt (advanced macros, exposures, snapshots), dbt Metrics, Databricks (Spark), Microsoft Fabric, Prefect, Monte Carlo, LookML, AtScale, Cube Semantic layer, Sigma BI, ThoughtSpot, MCP, etc.
Healthcare Standards- Working knowledge of healthcare data standards (HL7 v2, FHIR R4) and how they surface in pipelines
- Understands Medicare program structures - fee-for-service, Medicare Advantage, ACO models
- Experience modeling Primary Care, CCM, BHI, or other chronic care management program data
- Familiar with assisted living or post-acute care data flows (care plans, facility rosters)
- Models healthcare encounter and outcomes data with appropriate level of analysis
- Builds datasets supporting value-based care metrics - utilization, attribution, quality measures - and can advise stakeholders on results or enhancements to exceed business needs.
Stakeholder Collaboration- Strategic partner to clinical, product, and compliance teams
- Mentors analytics engineers and analysts - provides structured feedback and growth guidance
- Leads data validation sessions with clinical SMEs and informatics teams
- Drives self-serve analytics adoption and trains clinical stakeholders on data tools
- Manages competing stakeholder priorities and sets realistic delivery expectations
- Champions data literacy - helps non-technical teams understand what data can and cannot answer
- Owns the data catalog and documentation standards for their domain; drives self-serve analytics adoption
About Eventus WholeHealth:
Eventus WholeHealth was founded in 2012 to provide physician-led healthcare services for residents and patients of skilled nursing and assisted living facilities. With our highly-trained team of physicians, psychiatrists, nurse practitioners, physician assistants, psychotherapists, podiatrists, and support staff, our comprehensive, evidence-based model provides collaborative interdisciplinary care with the seamless and vital integration of a wide range of specialties. Our differentiated approach not only empowers the facilities to reach their own goals and objectives but also ensures better patient outcomes. For more information, please visit ;br>
Equal Opportunity Employer
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