Senior Analytics Engineer
Norm, New York City
What you will do
- Own analytics data products across internal business functions
- Design and maintain reusable intermediate models, business-facing gold models, metrics, access controls, tests, documentation, and Lightdash agent guidance
- Turn ideas into production data products by working with stakeholders to define requirements, validating the results, and publishing them
- Reconcile concepts that differ across source systems, and publish mappings, unmatched records, assumptions, and quality checks so conflicts stay visible
- Deliver changes through the full production process, including SQL, dbt tests, Lightdash metadata, access rules, content validation, and AI agent instructions