Build and maintain layered analytical models across device lifecycle, app usage, and monetization. Reconcile data from multiple systems and track discrepancies. Create entity-centric models for health, attribution, and longitudinal behavior. Analyze auction funnels end-to-end and diagnose drop-offs. Monitor core KPIs with anomaly detection and investigation. Develop cohorting, time-series, and survival analyses. Implement anomaly detection and alerting on core revenue/usage KPIs. Design scalable KPI dashboards in Apache Superset. Establish a governed metrics layer/semantic definitions. Align on schemas, SLAs, and data contracts. Build performant rollups/aggregate tables and materialized views. Add tests, documentation, and lineage to models.