Job Description

Own the data transformation layer end-to-end. Build clean, well-modeled, documented datasets that the entire company relies on, spanning board-level reporting (policy count, retention, effectuation, commissions), stakeholder self-service through Looker, and AI-driven exploration through tools like Claude. This is a high-leverage senior IC role where the analytics foundation impacts forecasts and operating decisions. Partner with Engineering, Finance, and Operations to fix data quality at the source. Tech stack: SQL, dbt, Redshift, Postgres, Looker (+ LookML), Fivetran, Airflow, Salesforce. 5+ years in analytics/data engineering with deep hands-on dbt, strong SQL, and a track record of turning messy datasets into a single source of truth. Bonus: retention/lifecycle modeling, Looker administration, prepping datasets for AI consumption, or Medicare/insurance experience.