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
Our tech
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
ETL / rETL: Hevo, Fivetran
GTM tools: Hubspot, Pocus, Clay