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Senior Analytics Engineer, Corporate Strategy

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Robinhood

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Location:
United States, Menlo Park

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

179000.00 - 210000.00 USD / Year
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Job Description:

Join us in building the future of finance. Our mission is to democratize finance for all. The Customer Intelligence and AI (CIAI) team is a specialized Data Science group within Robinhood’s Corporate Strategy organization. Our mission is to unlock deeper insights into customer behaviors, satisfaction, and market performance through Net Promoter Score (NPS), benchmarking, and advanced analytics. We apply data science, machine learning, and AI to improve customer experiences, drive operational efficiency, and inform company-wide strategy. As a Sr. Analytics Engineer on the CIAI team, you will strengthen and expand Robinhood’s Corporate Strategy and benchmarking capabilities. This includes designing and improving measurement frameworks, conducting deep-dive analyses, and shaping how Robinhood tracks and improves customer experience relative to competitors.

Job Responsibility:

  • 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
  • Design and maintain reliable, scalable pipelines and data models using modern data tools (e.g., Airflow, Spark), ensuring performance and accuracy at scale
  • Lead end-to-end development of analytics products—from ingestion to visualization—that meet critically important business, product, and regulatory needs
  • Build internal frameworks and tooling to make high-quality data more accessible and actionable across the organization
  • Support competitive benchmarking efforts, providing technical expertise for competitive intelligence and contextualizing Robinhood’s performance relative to peers
  • Advocate for customers by helping establish best practices in how we measure, interpret, and act on customer feedback

Requirements:

  • 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 we offer:
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
  • Exceptional office experience with catered meals, events, and comfortable workspaces

Additional Information:

Job Posted:
December 11, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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