Core Team priorities for 2026:
Analytics data warehouse v2: Design, implement, and migrate to a new analytics warehouse, owning modeling patterns, layer contracts (Silver, Gold, Semantic), and metric definitions.
Clear layer ownership: Define interfaces and responsibilities across ingestion, transformation, and analytics to improve velocity and trust.
Clear role definitions: Within the Core team, identify how the Data Analysts and Analytics Engineers work together on the team’s goals.
Embedded analytics: Launch Omni for client-facing analytics, establish best practices, and train Product and Business Analysts.
Production analytics tooling: Specify and integrate tools for data quality, anomaly detection, and monitoring.
Team growth: Scale the Core Analytics team from 4 to 8.
Platform scale: Support analytics infrastructure for 10 products (9 net new).

Requirements

3-5+ years of experience managing senior data professionals
Prior hands-on experience as a Data Analyst, Analytics Engineer, or Data Engineer
Strong track record leading cross-functional data initiatives
Experience in startups or scaling mid-sized businesses
Technical skills:
SQL (Advanced)
dbt (Advanced)
BI/data visualization tools (Proficient)
Python for data (Proficient)
Git (Proficient)
Nice To Haves
2+ years working with healthcare data (clinical, billing, or both)

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdbtdata visualizationPythonGitdata modelingdata migrationdata qualityanomaly detectionanalytics tooling

Soft Skills

leadershipcross-functional collaborationteam growthcommunicationtraining