PeopleX Insights & Analytics Intern (Summer 2027)

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Talent Management & Analytics team within our PeopleX organization is building the next generation of data tools, integrating advanced predictive insights and AI into our workforce systems. We create the data solutions that help the company recruit great talent, build high-performing teams, and put real-time insights into the hands of decision-makers. At the intersection of data science, product development, and organizational psychology, we're changing how Robinhood uses data to support our employees and forecast organizational needs. As a PeopleX Insights & Analytics Intern, you'll work with our team to design and build high-impact data products that our leaders and managers rely on. You'll contribute to analyses that help us understand what allows talent to thrive, how to accelerate team performance, and how to build better retention strategies. This is a unique opportunity to apply cutting-edge language models and predictive analytics to meaningful work under the mentorship of a data scientist and our talent management team. This role is based in our Menlo Park, CA office with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do • 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. What you bring • 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. Preference for related work experience in HR (prior internship(s), co-op roles, etc) • 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. • You’re curious and excited about a fast-paced work environment centered on learning and contributing to the business • You’re organized and detail‑oriented with a knack for project coordination • You have strong written and verbal communication skills and thrive in team collaboration • Familiarity with tools like Workday, Slack, and the Google Suite are a plus What we offer • 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 Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected hourly range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $38—$38 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. 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