Data Analyst

Production SQL experience (Snowflake, BigQuery, Redshift or similar). Solid dbt experience: models, tests, macros, CI practices, and modular modeling patterns. Proven track record of converting one-off analyses into reusable data models. Comfortable with Python for data tasks, Git-based workflows, and CI pipelines. Strong understanding of data lineage, monitoring, and testing best practices. Excellent stakeholder communication, able to map business questions to repeatable data products and document assumptions. Experience working in fast-paced teams and owning projects end-to-end.

Own core business metrics end-to-end: design, implement, test, document, and maintain them in dbt and Snowflake. Convert ad-hoc analyses into durable, reusable warehouse artifacts. Implement and maintain automated data tests, monitors, and lineage; integrate them into CI. Troubleshoot ingestion and transformation issues and ship fixes upstream. Partner closely with other teams to ensure data is performant, stable, and production-ready for models. Support product and commercial teams with analysis and insights. Improve self-serve documentation, tools, and onboarding. Surface platform roadmap work: identify recurring needs that should become new marts, schemas, or pipelines.