PeopleX Insights & Analytics Intern (Summer 2027)

Robinhood · Menlo Park, CAjunior

En corto

▸Internado en análisis de datos para recursos humanos con enfoque en IA y predicción.
▸Días a día: construyes pipelines, modelos predictivos y dashboards con SQL, Python y herramientas de visualización.
▸Lo destacado: trabajas con inteligencia artificial para analizar feedback y mejorar retención en una empresa de finanzas disruptiva.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓Estudiante de posgrado en Ciencia de Datos, Estadística, CS, Economía o campo cuantitativo.
✓Experiencia previa en HR, pasantías o roles de co-op (preferible).
✓Habilidades sólidas en SQL y Python/R para análisis de datos.
✓Capacidad para crear visualizaciones claras y ejecutivas.
✓Curiosidad y disposición para trabajar en entorno rápido y desafiante.
✓Disponibilidad para trabajar 3 días a la semana en oficina en Menlo Park, CA.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

SQLPythonRdbtdata pipelinespredictive modelsAI-driven workflowsunstructured feedback analysisdashboardingmetric dictionaries

¿A quién escribirle en Robinhood?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 <l

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