Staff Analytics Engineer

📋 Description Architect and own BigQuery warehouse as canonical analytics layer. Design and ship end-to-end dbt project from raw data to marts. Define canonical ARR/NRR/bookings/lifecycle in the semantic layer. Build revenue models for subscriptions, add-ons, settlements. Create identity-resolution spine across product, marketing, billing, CRM. Enable GTM intelligence with PQL and PQA scoring and reverse ETL. 🎯 Requirements Deep analytics engineering experience: expert dbt and warehouse fluency. Strong SQL and data modeling: dimensional modeling and grain discipline. Track record building canonical revenue metrics with GTM scoring. AI-native: BigQuery ML and Vertex AI for scoring. Ownership across full data stack from ingestion to reporting. Strong written and verbal communication with Finance, GTM, and tech teams.