Senior Product Analytics Engineer

- You're equally comfortable writing a dbt model, troubleshooting a pipeline, and helping a non-technical stakeholder define a company wide KPI - Bias toward self-service, you build data models assuming someone else will need to understand and trust them without you in the room - A governance driven approach to data. You default to documenting, defining, and getting alignment on what a metric means, rather than shipping something that "mostly works" - Curiosity and ownership when something looks off in the data - A builder's mindset for data — you enjoy shaping how product data is modeled at the source, not just querying what already exists - Comfort moving fluidly between technical and business conversations - Adaptability in a fast-paced, evolving data environment and comfortable building foundational structure while priorities and requirements are still taking shape - Bachelor's degree or equivalent in Computer Science, Engineering, Information Systems, or a related field - Experience translating ambiguous business requirements into governed, well-documented data models - Advanced SQL and hands-on experience with dbt - 7+ years of experience spanning data engineering and analytics, ideally in a role bridging both - Hands-on experience building both production data pipelines and stakeholder-facing analytics/dashboards - Proven experience partnering directly with product/engineering teams on instrumentation and source data design — not just consuming what's handed…