Senior Analytics Engineer

What you'll be doing:

• Own how we build client-facing data transformations faster, better, and in a more scalable way as we add integrations and customers, including where and how we leverage AI to accelerate, improve, and document that work.
• Design and evolve data integrity tests in collaboration with Engineering and Customer Success, so issues are caught before they reach customers.
• Partner with Customer Success to understand data and reporting needs, troubleshoot issues, and build robust transformations across many sources.

What you bring:

• Experience: A track record of owning transformation pipelines over financial or operational data end to end, from source integration through production-ready models.
• Strong fundamentals: you can reason about data from source to consumption and make good technical decisions across the pipeline.
• High agency: you drive standards, support great practices, and shape architectural decisions.

Tech stack:

• Transformations: dbt, SQL, Python.
• Data: BigQuery.
• Integrations: many sources (ERP, HRIS, CRMs, billing); ingestion includes Airbyte, Fivetran, Merge.
• Observability: Datadog.
• Version control & deployment: Git, CI/CD for dbt.