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