Robinhood
Data Science Analyst, Corporate Strategy
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. Robinhood isn’t a place for complacency; it’s where ambitious people do the best work of their careers. The Customer Intelligence and AI (CIAI) team is a specialized Data Science group within Corporate Strategy. Our mission is to unlock deeper insights into customer behaviors, satisfaction, and market performance through 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. We partner with teams across product, data, engineering, marketing, finance, and research to power strategic decision‑making and enhance operational performance.
What You’ll Do
Strengthen Robinhood’s NPS programs by supporting the full stack of data science work—from data pipelines to dashboarding, reporting, and deep‑dive analysis.
Drive innovation in the NPS space, including experimentation with AI and LLM‑based approaches to customer intelligence and feedback analysis.
Build and maintain scalable data processes to collect, manage, and synthesize information from a wide range of internal and external sources.
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.
What You Bring
2-5 years of experience in an analytics or data science role, ideally blending quantitative analysis with business impact (e.g., roles in technology, financial services, consulting, or research).
Degree or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related field.
Proficiency in SQL and Python, with hands‑on experience in data wrangling, visualization, and analysis.
Familiarity with statistical modeling techniques; exposure to text analytics, natural language processing, or AI/LLM applications is a plus.
Proven ability to translate complex data into clear, actionable insights that influence business decisions.
Excellent attention to detail and ability to manage priorities and deadlines across multiple projects.
Ownership mentality and self‑starter attitude, with creativity and resourcefulness to solve ambiguous problems and drive outcomes.
Excellent communication skills, with the ability to engage audiences across technical and non‑technical teams and influence decision‑making at multiple levels.
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.
Base Pay Range Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $132,000—$155,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL): $116,000—$136,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $103,000—$121,000 USD
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the privacy policy for your country of application.
#J-18808-Ljbffr
About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. Robinhood isn’t a place for complacency; it’s where ambitious people do the best work of their careers. The Customer Intelligence and AI (CIAI) team is a specialized Data Science group within Corporate Strategy. Our mission is to unlock deeper insights into customer behaviors, satisfaction, and market performance through 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. We partner with teams across product, data, engineering, marketing, finance, and research to power strategic decision‑making and enhance operational performance.
What You’ll Do
Strengthen Robinhood’s NPS programs by supporting the full stack of data science work—from data pipelines to dashboarding, reporting, and deep‑dive analysis.
Drive innovation in the NPS space, including experimentation with AI and LLM‑based approaches to customer intelligence and feedback analysis.
Build and maintain scalable data processes to collect, manage, and synthesize information from a wide range of internal and external sources.
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.
What You Bring
2-5 years of experience in an analytics or data science role, ideally blending quantitative analysis with business impact (e.g., roles in technology, financial services, consulting, or research).
Degree or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related field.
Proficiency in SQL and Python, with hands‑on experience in data wrangling, visualization, and analysis.
Familiarity with statistical modeling techniques; exposure to text analytics, natural language processing, or AI/LLM applications is a plus.
Proven ability to translate complex data into clear, actionable insights that influence business decisions.
Excellent attention to detail and ability to manage priorities and deadlines across multiple projects.
Ownership mentality and self‑starter attitude, with creativity and resourcefulness to solve ambiguous problems and drive outcomes.
Excellent communication skills, with the ability to engage audiences across technical and non‑technical teams and influence decision‑making at multiple levels.
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.
Base Pay Range Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $132,000—$155,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL): $116,000—$136,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $103,000—$121,000 USD
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the privacy policy for your country of application.
#J-18808-Ljbffr