Senior Analytics Engineer, Corporate Strategy

Robinhood Robinhood · Fintech · Menlo Park, CA +1 · ENG Data Science

Robinhood is seeking a Senior Analytics Engineer for their Customer Intelligence and AI (CIAI) team. This role focuses on applying data science, machine learning, and AI to understand customer behaviors, improve experiences, and inform strategy. The engineer will design and maintain data pipelines, develop analytics products, build internal tooling, and support competitive benchmarking. Requires 5+ years of experience in analytics engineering or related fields, with strong SQL, Python, Spark, and ETL pipeline skills.

What you'd actually do

  1. Partner cross-functionally with product, engineering, and business teams to scope and deliver high-impact analytics initiatives, from metric definitions to fully automated reporting solutions.
  2. Design and maintain reliable, scalable pipelines and data models using modern data tools (e.g., Airflow, Spark), ensuring performance and accuracy at scale.
  3. Lead end-to-end development of analytics products—from ingestion to visualization—that meet critically important business, product, and regulatory needs.
  4. Build internal frameworks and tooling to make high-quality data more accessible and actionable across the organization.
  5. Support competitive benchmarking efforts, providing technical expertise for competitive intelligence and contextualizing Robinhood’s performance relative to peers.

Skills

Required

  • 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field.
  • Strong expertise in advanced SQL, Python scripting, and Apache Spark (PySpark, Spark SQL) for data processing and transformation.
  • Proficiency in building, maintaining, and optimizing ETL pipelines, using modern tools like Airflow or similar.
  • Experience in building polished and performant dashboards using tools like Superset, Looker, Tableau.
  • Strong familiarity with version control (GitHub), CI/CD, and modern development workflows.
  • A strong business acumen around business strategy and competitive landscape.
  • Ability to work in a fast-paced, and highly multi-functional environment.

What the JD emphasized

  • critically important business, product, and regulatory needs