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 People Analytics team within Robinhood’s Data Science organization plays a critical role in transforming data into strategic insights. We build foundational data products that support product development, regulatory compliance, and operational efficiency. Our mission is to empower teams across Robinhood with trustworthy, scalable, and self-serve analytics infrastructure. We collaborate closely with product managers, engineers, and data scientists to ensure data is accessible, accurate, and actionable.
As an Analytics Engineer for the People Analytics team, you will drive the development and maintenance of high-performance dashboards that advise business decisions, build prescriptive analytics solutions, and enable stakeholders through data literacy, self-service tools, and education. You’ll collaborate with cross-functional partners to define metrics, curate datasets, and surface insights that advise business decision-making. The ideal candidate will bring strong technical expertise paired with excellent interpersonal skills, with a drive for advancing our reporting capabilities to the next level. This role offers the opportunity to shape the company’s data foundations and make a long-lasting impact on Robinhood’s growth.
This role is based in our [Menlo Park, CA] office(s), with in-person attendance expected at least [3/4/5] 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
- Collaborate with diverse teams for People Analytics projects, crafting dashboards, defining metrics, improving processes, and reporting.
- Support prescriptive analytics initiatives using established data tooling
- Contribute to user enablement by creating training materials, providing onboarding sessions, and coaching stakeholders on how to interpret and act on insights.
- Support data hygiene initiatives by preparing clean, accurate reporting foundations.
- Work alongside data scientists and analysts to translate raw data into clean, usable datasets for analysis and reporting.
- Participate in team efforts to improve data documentation, promote analytics best practices, and support a self-serve data culture across stakeholder groups.
What you bring
- At least 1 year of experience (including internships or professional settings) in Analytics Engineering or Data Engineering.
- Proven understanding of SQL and basic Python scripting for data analysis and transformation
- Experience in maintenance of ETL pipelines and an understanding of modern data development workflows.
- Proven track record to build, maintain, and iterate on dashboards using tools such as Tableau, Looker, Power BI, or Superset, with a strong focus on usability, adoption, and performance.
- Strong communication skills, with the ability to explain dashboards and data-driven insights to both technical and non-technical audiences.
- A curious and proactive approach, eager to grasp business requirements and support data-driven solutions.
- Comfortable working in a collaborative, fast-paced environment
- Experience with People data, processes and sources (Greenhouse, Workday) is a plus
- Experience creating data dictionaries, establishing standardized metrics, and maintaining data quality frameworks is a plus.
- Experience onboarding stakeholders to dashboards, improving data literacy, and driving actionable use of insights is a plus.
What we offer
- Challenging, high-impact work to grow your career
- Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
- Best in class benefits to fuel your work, including 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
