Analytics Engineer

Responsibilities

• Build and maintain dbt models in our new Analytics Warehouse, using a clean, layered architecture and migrating logic off legacy tools as you go.
• Own tracking plan implementation and QA directly in Segment and Amplitude in close partnership with Product and Engineering.
• Support experimentation by modelling assignment and outcome data into structured formats that analysts and PMs can query directly.
• Define and document metrics in our semantic layer, ensuring a single authoritative definition so downstream BI tools and AI applications yield consistent answers.
• Apply AI-augmented data modelling practices as a standard part of how you write, review, and migrate code.
• Partner with Product Managers and Analysts to turn one-off questions into durable, reusable data models.
• Maintain data quality in your domain through dbt tests, freshness SLAs, and proactive monitoring.
• What you bring
• Solid SQL and dbt experience, with a clear comfort owning models end to end.
• Working knowledge of event-based tracking tools like Segment or Amplitude.

Languages