Job Description

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...
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