Analytics Engineer

Highlights

• Own the transformation layer powering business decisions as early Data hire.
• Define certified KPIs for product, finance and company-wide topics.
• Turn ambiguous questions into trusted data products served via AI agents.

What they offer

• Annual discretionary learning and development stipend
• Annual discretionary social travel stipend to meet colleagues
• Annual company offsite with entire team
• Monthly co-working stipend if not near a hub

Ideal candidate

A rigorous, business-minded data owner who thrives in fast-moving teams. You love turning ambiguity into trusted metrics and hold a high bar for quality, documentation, and impact.

Requirements

• Demonstrated experience building and scaling a dbt project and metrics layer, ideally as early analytics hire
• Expert knowledge of dbt and advanced SQL; dimensional modelling, grain and incremental patterns
• Proficiency across modern data stack: BigQuery or similar, Python, BI tools such as Looker
• Rigour around data quality: test, document and reconcile by default
• Ability to understand stakeholder requirements, push back and translate into generalized models
• Bonus: Experience modelling billing, subscription and ARR data or product event data at scale
• Bonus: Experience serving data to LLM-based agents or metrics layers consumed by AI tools
• Bonus: Experience with CI for data and infrastructure-as-code for warehouse access