Analytics Engineer

Join us as Analytics Engineer x Business Analytics and become the person our Business Analytics teams can build on without a second thought. You will own end-to-end the data models feeding Product, Growth, and Ops Finance analytics — designing scalable dbt models, pushing back on requests that would trade reliability for speed, and helping the team migrate to Omni and a real semantic layer.

Responsibilities

Build data models Business Analytics teams trust - design and ship dbt models and tests that hold up under real, everyday use across Product, Growth, and Ops Finance; Partner with Business Analysts - understand what they actually need, and push back when a request would trade long-term reliability for a quick fix; Reduce technical debt at scale - help migrate parts of the data stack to a more scalable setup, including ongoing move to Omni; Own your projects end-to-end - take work from discovery through delivery, and follow up on real impact; Scale your own workflow with AI - use AI tools to speed up documentation, testing, and modeling work, while keeping judgment calls in your hands

Requirements

Strong in dbt and SQL, especially dimensional modeling; shipped production-grade models other teams build dashboards on top of; comfortable pushing back on stakeholder requests that would hurt data quality; design models that hold up months later, know when 'good enough now' beats 'perfect later'; use AI tools beyond just chatting to speed up modeling, documentation, or test generation; ready to take projects end-to-end; if senior, help raise the team's standards

Benefits

Unlimited access to the best AI tools; Join at a pivotal moment - team is scaling and migrating to Omni; Room to move - grow horizontally across Business Analytics, Compliance, and Foundation scopes; Business partnering is core - work daily with Product, Growth, and Ops Finance stakeholders; AI is the multiplier