Lead Analytics Engineer

What You’ll Own:

• 50% — Analytics, Business Insights & Technical Leadership: partnering with Data Scientists and Product on the hardest analytics problems.
• 30% — Data Engineering & Pipeline Ownership: architecting and owning production SQL pipelines, data models, and Airflow DAGs.
• 20% — Data Visualization, Metric Governance & Enablement: owning executive-visibility dashboards in Tableau/Superset.

Analytics Leadership & Business Partnership:

• Serve as the senior analytics IC for the Monetization Analytics pod, tackling the hardest, most ambiguous data problems.
• Improve the quality of the question before answering — reframe vague asks into sharper, more valuable analytical approaches.
• Lead end-to-end analytics initiatives from data modeling to dashboard delivery with minimal supervision.

Data Engineering & Pipeline Architecture:

• Architect and own production-grade SQL data pipelines (Presto/Trino/Hive/Spark SQL) with proper tradeoffs on incremental vs. full refresh.
• Design and own data cubes, aggregate tables, and semantic layers used by the entire Monetization Analytics function.
• Author, own, and operate Airflow DAGs for critical revenue pipelines, including SLAs, on-call posture, and incident response.

Data Visualization, Metric Governance & Enablement:

• Own the design and quality of executive and cross-functional dashboards in Tableau and/or Superset.
• Drive metric governance — clear definitions, owners, source-of-truth queries, validation, and deprecation.
• Enable self-serve analytics for Data Scientists, Analysts, and PMs with clear naming, documentation, and coaching.