Lead design and delivery of interactive, production-grade dashboards (Looker/Mode/Tableau/Metabase/Power BI) that answer product and business questions
Own semantic data models and metrics (events, user cohorts, funnels, retention) ensuring accuracy and consistency across reports
Design, implement, and maintain ETL/ELT pipelines (dbt, Airflow, Beam, or equivalent) to ingest, clean, and transform product and event data
Partner with product and engineering to define event schemas, validate data quality, and implement monitoring/alerting for metric regressions
Serve as trusted analytics partner to PMs, designers, and engineers—translate product questions into analytics requirements and deliverables
Optimize queries, dashboards, and pipelines for performance and cost at scale
Mentor junior analysts/engineers, define standards for metrics, documentation, and reproducible analyses.

5+ years in analytics engineering, data engineering, or applied analytics with product-focused experience
Proficient with SQL and modern analytics stack (data warehouse such as Snowflake, dbt or similar, and a BI tool)
Strong ETL/ELT design, data modeling (star/snowflake/semantic layers), and production-grade pipeline development
Demonstrated ability to partner with product teams and translate product goals into measurable metrics and dashboards
Clear storytelling with data—can present findings to non-technical stakeholders and influence product direction
Experience establishing data QA, lineage, and monitoring practices.

Staff Analytics Engineer, Product

Key skills