Senior Analytics Engineer

Role overview Build reliable data models and analytics that help teams understand operations and improve care at scale. This hands-on role connects source-system behavior to clear business definitions, partnering with technical and business colleagues from requirements through production rollout and ongoing support.

Responsibilities - Design reusable dbt models and BigQuery datasets, making clear choices about data grain, keys, relationships, and history. - Maintain shared LookML views, Explores, measures, and dashboards so business logic stays consistent and users can answer questions independently. - Deliver components of a data architecture and BI modernization, reconcile results with existing systems, validate dependencies, and help retire legacy content. - Work with analytics, finance, growth, customer success, and clinical partners to clarify definitions, edge cases, and downstream use. - Add automated checks for model behavior, relationships, freshness, and business rules; investigate and resolve discrepancies and production issues. - Improve query performance, model maintainability, documentation, and lineage; contribute governed data and semantic definitions for agent and AI use cases.

Requirements - At least five years in analytics engineering, data engineering, or a related technical role. - The source calls for a track record of relevant work, but the remainder of that requirement is unavailable in the listing.

Benefits and work setup The role is remote-first, with occasional work connected to office hubs. Work may involve sensitive patient information, so following privacy and security procedures is part of the job.