Shape our analytics foundation: Define modeling patterns, metrics architecture, and analytics engineering best practices as we grow. Owning transformation design from raw data to consumption ready marts.
Enable stakeholders: Collaborate with Product, Operations, Engineering, and Analytics teams to deliver faster, more reliable insights that drive business decisions.
Build capacity: Mentor analysts and data consumers through tooling, guidance, and training—helping them design better models, build better metrics, and ship better insights.
Scale with quality: Expand and maintain testing and documentation that let us ship confidently and sustainably.
Requirements
3+ years of experience in analytics engineering, or in data analytics with significant analytics engineering responsibilities
Deep fluency in SQL and dbt (or similar frameworks), including layered modeling, incremental models, testing, and documentation
Hands-on with modern data warehouses (BigQuery, Snowflake, Redshift, etc.) and transformation tools
Comfortable working with technical and non-technical stakeholders to explore ambiguity and translate business requirements into well-defined data solutions
Basic scripting skills in Python or similar languages for automation and data validation
Excited to help others grow in their use of our data warehouse
Passion for fostering a collaborative, inclusive, and impact-driven data culture
Strong communicator across both technical and non-technical teams
Energized by helping others grow in their use of data tools and workflows
Benefits
Competitive salary, equity, and 401(k)
Wellness stipend & great benefits (medical, dental, vision)
Generous PTO & parental leave
Bi-annual offsites & a collaborative, mission-driven culture
Hybrid work (SF office Mon/Tues/Thurs) + catered lunches (*Bay Area Positions only)*
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