PeopleX Insights & Analytics Intern (Summer 2027)

Robinhood•Menlo Park, CA
•Hybrid

About The Position

Robinhood is seeking bold thinkers and sharp problem-solvers for an elite team applying frontier technologies to the world's biggest financial problems. The Talent Management & Analytics team within the PeopleX organization is building the next generation of data tools, integrating advanced predictive insights and AI into workforce systems. They create data solutions to help the company recruit talent, build high-performing teams, and provide real-time insights to decision-makers. This role is at the intersection of data science, product development, and organizational psychology, aiming to change how Robinhood uses data to support employees and forecast organizational needs. The intern will work with the team to design and build high-impact data products, contribute to analyses on talent thriving, team performance, and retention strategies, and apply cutting-edge language models and predictive analytics under mentorship. This role is based in the Menlo Park, CA office, with at least 3 days per week in-person attendance expected. Robinhood believes in the power of in-person work to accelerate progress, spark innovation, and strengthen community, with an intentional and energizing office experience designed to support high-performing teams.

Requirements

  • Pursuing a graduate degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field with an expected graduation date of Winter 2027/Summer 2028.
  • Strong proficiency in SQL and Python/R for data manipulation and statistical analysis, with a portfolio or projects showcasing your ability to draw insights from complex datasets.
  • Curious and excited about a fast-paced work environment centered on learning and contributing to the business.
  • Organized and detail-oriented with a knack for project coordination.
  • Strong written and verbal communication skills and thrive in team collaboration.

Nice To Haves

  • Preference for related work experience in HR (prior internship(s), co-op roles, etc).
  • Familiarity with tools like Workday, Slack, and the Google Suite are a plus.

Responsibilities

  • Develop and refine predictive models to forecast workforce trends, such as attrition risk and hiring velocity.
  • Build and maintain automated data pipelines to transform raw people data into reliable, real-time insights using SQL and dbt.
  • Support the design of scientifically-backed survey methodologies and "always-on" employee listening strategies to surface actionable organizational health signals.
  • Create high-fidelity visualizations and dashboards that translate complex organizational data into clear, executive-ready insights.
  • Collaborate with the team on AI-driven workflows to automate the analysis and summarization of unstructured feedback and internal documentation.
  • Ensure data integrity by defining metric dictionaries and maintaining a robust semantic layer for core People KPIs.

Benefits

  • Market competitive compensation structure
  • Quarterly lifestyle wallet for personal wellness, learning and development, and more!
  • Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
  • Time away including company holidays, paid time off, and sick time!
  • Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
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