Marketing Analytics Engineer

📋 Description Architect and own the foundational, MECE core model layer in dbt that the rest of the team builds Define and evangelize the modeling standards the team builds by, including naming, testing Own the paid-media attribution model end to end, keeping it accurate and cleanly separated across Prevent data leaks and pipeline breakage, catching coverage gaps before they surface late and erode Set and execute the team's AI strategy across reporting and data-QA automation, agentic and Coach the team on building and managing AI agents so an AI-driven way of working becomes standard 🎯 Requirements 6+ years in analytics engineering or data, including a track record of leading the design of a Deep, hands-on dbt and data-modeling expertise, with experience building a foundational or shared Demonstrated ability to build with AI, not just use it, such as automated QA/reporting agents Expert SQL and experience with large, complex datasets and modern data stacks such as BigQuery Strong grasp of marketing measurement, including attribution logic and metrics like CAC, LTV, and Excellent communication and the ability to set standards others want to follow 🎁 Benefits Generous PTO 7 Paid Holidays Annually + 5 Conditional Holidays Annually 1 Service Day Annually 401k with 3.5% Company Match Paid Parental Bonding Leave Health, Vision, Dental Coverage