Senior Analytics Engineer
Core
Build, manage, and optimize end-to-end data pipelines and production-grade data models to support clinical, operational, and growth analytics for a digital addiction medicine clinic.
Role type
Senior Analytics Engineer (Data Infrastructure & Business Insights)
Builds
Scalable data assets, semantic layers, and reporting structures for patient acquisition, marketing performance, and clinical operations.
Domain
Healthcare (Addiction Medicine) + Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dbt, BigQuery, Fivetran, Looker/LookML, Data Modeling, ETL/ELT, Data Governance, Git
Preferred skills
Healthcare data analytics (EHR/claims), Marketing/Growth team partnership, AI tools proficiency
Technologies
BigQuery, dbt, Fivetran, Looker, Git
Responsibilities
Operate across the data stack to build and optimize pipelines from ingestion to reporting; Develop and maintain robust data models and schemas; Configure data ingestion pipelines; Translate business questions into analytical workflows; Design semantic layers and reporting structures; Mentor analysts on SQL and dbt; Implement data validation and monitoring; Define data standards and metrics.
Seniority
Senior, hands-on IC with mentorship responsibilities