Robinhood

Data Science Analyst, Corporate Strategy

Robinhood

full-time

Posted on:

Location Type: Hybrid

Location: Chicago, IL • California, Illinois, New York • 🇺🇸 United States

Visit company website
AI Apply
Apply

Salary

💰 $116,000 - $136,000 per year

Job Level

JuniorMid-Level

Tech Stack

PythonSQL

About the role

  • Strengthen Robinhood’s NPS programs by supporting the full stack of data science work—from data pipelines and analytics 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.

Requirements

  • 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.
Benefits
  • 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.

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythondata wranglingdata visualizationdata analysisstatistical modelingtext analyticsnatural language processingAI applicationsLLM applications
Soft skills
attention to detailtime managementownership mentalityself-starter attitudecreativityresourcefulnessproblem-solvingcommunication skillsinfluencing decision-makingengaging audiences
Medsuite Inc

Senior Business Analyst, Reporting

Medsuite Inc
Seniorfull-time🇮🇳 India
Posted: 5 days agoSource: globalcareers-ventrahealth.icims.com
PythonSQL
NationsBenefits

Digital Experience Analyst

NationsBenefits
Mid · Seniorfull-time🇮🇳 India
Posted: 8 days agoSource: nationsbenefits.breezy.hr
PythonSQL
Spotify

Annotation QA Analyst, Content Platform

Spotify
Mid · Seniorfull-time$83k–$118k / yearNew York · 🇺🇸 United States
Posted: 15 days agoSource: jobs.lever.co
SQL
Fullscript

Data Analyst, Merchandising

Fullscript
Mid · Seniorfull-time🇨🇦 Canada
Posted: 21 days agoSource: jobs.lever.co
PythonSQL
User Interviews

Senior QA Operations Associate

User Interviews
Seniorfull-time$70k–$80k / year🇺🇸 United States
Posted: 31 days agoSource: boards.greenhouse.io
PythonSQL