Analytics Engineer

Required

• 8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company
• Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse
• Track record of owning data projects end-to-end, from shaping an ambiguous problem to shipping something people rely on
• Strong data modeling judgment: you think clearly about grain, reusable components, interfaces, dependencies, and maintainability without relying on a single prescribed methodology
• Analytical judgment: you know when to answer quickly, when to investigate deeply, and how to turn complex findings into a clear recommendation
• Comfortable moving between technical implementation and business context, from debugging a data model to understanding product adoption or sales efficiency
• High ownership mentality: self-directed, pragmatic, and willing to challenge a request or approach when something does not make sense
• Strong communication skills and experience partnering directly with both technical and non-technical teams
• Comfortable using LLMs and coding agents as part of your day-to-day development workflow
• This stack reflects the systems you’ll work in. You’re not expected to have experience with everything listed, but you should be comfortable learning quickly and working across the full lifecycle of data.
• Data Warehouse: Snowflake, dbt Cloud
• Dashboards / Analysis: Metabase, Hex