This is a remote position.
Turn messy data into insights — explore, profile, and reconcile datasets so analyses are reliable.
Solve ambiguous problems with data — build segments, proxies, or intersections across datasets when clean definitions don’t exist.
Work closely with product and engineering to define data ingredients for new applications and experiments.
Deliver fast analytical iterations using Snowflake, SQL, Python, and Jupyter.
Use AI tools to accelerate analysis, coding, and debugging.
Operationalize repeatable work using Python, Airflow, and Git.
Maintain data quality through validation checks, documentation, and careful analysis.
Communicate insights clearly, focusing on signal, trade-offs, and business impact.
Requirements
Strong SQL & Python experience
Comfortable with exploratory analysis
Abilit...