About this role

Build and maintain data models, create governed dashboards, own data documentation, and help establish the quality and testing infrastructure
Build, maintain, and optimize dbt models across core domains
Implement and expand data quality tests
Maintain trust tier labeling on all models
Monitor automated test runs and investigate failures
Collaborate with stakeholders to translate business questions into well-scoped data work
Support Customer Success with client reporting and data verification

5+ years of professional experience in analytics engineering, data analysis, or data engineering
Strong SQL skills and 2+ years of experience with dbt (or equivalent transformation tool: SQLMesh, Dataform)
Experience with Snowflake, BigQuery, Databricks, or Redshift in a production environment
Experience building dashboards and working with BI tools (Omni, Looker, Mode, Metabase, or similar)
Familiarity with data quality testing and CI/CD concepts (dbt tests, Great Expectations, or similar)
Ability to write clear documentation and communicate data concepts to non-technical audiences
Experience working directly with product, customer success, or business stakeholders.

Senior Analytics Engineer

Key skills