Build and maintain dbt models in the new analytics warehouse, moving logic off legacy tools.
Implement and QA tracking plans in Segment and Amplitude with Product and Engineering.
Model experiment assignment and outcome data into structured tables for analysts and PMs.
Define and document metrics in the semantic layer with one authoritative definition.
Use AI-assisted practices when writing, reviewing, and migrating code.
Turn one-off stakeholder questions into reusable data models.
Maintain data quality through dbt tests, freshness SLAs, and monitoring.

Solid SQL and dbt experience, with comfort owning models end to end.
Working knowledge of event tracking tools such as Segment or Amplitude.
Experience with Git workflows, including pull requests and code reviews.
Ability to explain data definitions to technical and non-technical stakeholders.
Daily use of AI tooling in coding and workflow.
Comfort with ambiguity and untangling legacy logic.

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Posted	17 Oct 2026
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Analytics Engineer