Senior Analytics Engineer - Decision Intelligence

📋 Description Model the gold layer: Conformed entities for customer, account, project, product and contract Own the semantic layer: Author models defining metrics once for consistent outputs across Build the agent-facing surface: Tools, permissions, and MCP surfaces for analyst agents to navigate Make correctness checkable: Assertions on grain, uniqueness, and cross-system reconciliation Absorb questions: Answer questions from sales, product, and finance and leave behind models that 🎯 Requirements AI-native practice demonstrated: Daily, intricate use of AI as a way of working; can discuss the Production-grade SQL and Python with code that ships on a schedule and is self-instrumented. Semantic or metrics layer ownership: dbt, Cube, LookML or equivalent owned, not used; experience Modelling judgement over tool knowledge: Reasoning about grain and keys; distinguishing data Comfort in work-in-progress infrastructure: Ability to build processes and structures from scratch. Clear writing for definitions and contracts that others trust without re-deriving. 🎁 Benefits Offers Equity Offers Bonus Remote work AI-first work environment