Senior Analytics Engineer - Decision Intelligence

📋 Description

• Build and maintain the gold data layer: Develop conformed data models for customers, accounts
• Own the semantic and metrics layer: Define, document, version, and maintain standardized business
• Develop AI-ready data interfaces: Build tools, permission frameworks, and Model Context Protocol
• Establish data quality and correctness controls: Implement automated assertions for data grain
• Evaluate AI-generated analytical outputs: Create evaluation frameworks that compare agent responses
• Translate business questions into reusable data products: Partner with sales, product, and finance

🎯 Requirements

• Strong SQL and Python expertise: Demonstrated experience writing, deploying, and maintaining
• Ownership of semantic or metrics layers: Hands-on experience owning tools and frameworks such as
• Advanced data modeling judgment: A strong understanding of data grain, entity relationships, keys
• Demonstrated AI-native working practices: Regular, sophisticated use of AI tools beyond code
• Experience with production data environments: The ability to deliver dependable analytical models
• Comfort with ambiguity and early-stage environments: A proactive, independent mindset and the

🎁 Benefits

• Competitive base salary: For Tier 1 locations, including San Francisco, New York City, and Seattle
• Equity opportunities: Equity compensation is offered as part of the compensation package.
• Additional compensation: Tier 2 positions include bonus opportunities. Bonus eligibility and terms
• Remote work: A fully remote position based in the United States, offering flexibility in where you
• Full-time employment: A full-time opportunity with meaningful technical ownership and the ability
• High-impact technical work: The opportunity to build core decision intelligence infrastructure that