Full-Time Analytics Engineer

• Develop and maintain dbt models (staging → marts) with clear ownership, documentation, and testing.
• Build and manage the Looker semantic layer, including Explores, governed metrics, and dashboards for self-serve analytics.
• Partner with stakeholders to translate business questions into clear, reusable data products and insights.
• Ensure data quality and trust by implementing tests, observability, and data freshness monitoring.
• Provide ad-hoc analysis and decision support for product, operations, and leadership teams.
• Create playbooks, host office hours, and train non-technical users to confidently leverage Looker.
• Protect PHI with strong permissioning, governance, and secure defaults.

• 2+ years of experience in analytics engineering or data analytics, with strong SQL skills.
• Hands-on experience with dbt (models, tests, docs) and Looker (LookML, Explores, dashboards).
• Proven ability to model for cloud data warehouses (BigQuery preferred) and manage version control (Git).
• Strong communication skills with the ability to translate vague questions into actionable metrics.
• Experience working with sensitive healthcare data and applying appropriate governance practices.

• Familiarity with Python for analysis/automation and CI/CD tools (e.g., GitHub Actions).
• Knowledge of healthcare analytics (claims, clinical, or patient engagement data).

• Competitive compensation commensurate with experience
• Potential to earn equity based on performance
• Remote-friendly work environment
• Medical, dental, and vision coverage for employees and dependents at a nominal cost
• Paid maternity leave
• FSA and Dependent Care account options
• 401(k) eligibility after 6 months of full-time employment
• Collaborative, mission-driven work environment

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