• Core Team priorities for 2026: • Analytics data warehouse v2: Design, implement, and migrate to a new analytics warehouse, owning modeling patterns, layer contracts (Silver, Gold, Semantic), and metric definitions. • Clear layer ownership: Define interfaces and responsibilities across ingestion, transformation, and analytics to improve velocity and trust. • Clear role definitions: Within the Core team, identify how the Data Analysts and Analytics Engineers work together on the team’s goals. • Embedded analytics: Launch Omni for client-facing analytics, establish best practices, and train Product and Business Analysts. • Production analytics tooling: Specify and integrate tools for data quality, anomaly detection, and monitoring. • Team growth: Scale the Core Analytics team from 4 to 8. • Platform scale: Support analytics infrastructure for 10 products (9 net new).