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About this Data Solutions & Analytics Senior Analyst role at Robinhood

Robinhood · Hybrid · Westlake, TX

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. We're looking for an exceptional Data Solutions & Analytics Senior Analyst to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents.

You'll take on a highly influential role shaping vision and execution across key strategic initiatives. You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team. This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them.

This role is based in our Westlake, TX, 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

  • Partner closely with Operations, Compliance, Product, and Engineering to understand business challenges and deliver impactful, data-driven solutions.
  • Build and maintain scalable data pipelines using Python, Spark and Airflow to automate critical processes, such as key risk indicators, detective controls, risk alerts, reconciliations, and reporting.
  • Develop solutions that leverage Generative AI and large language models (LLMs) to streamline and optimize processes, driving innovation in operational workflows.
  • Develop meaningful, user-friendly dashboards to monitor the health of products, systems, and business processes.
  • Transform complex data into clear and insightful visualizations to inform partners and drive decision making.
  • Perform exploratory data analysis to uncover actionable insights and inform data-driven strategies for mitigating risks and optimizing operational efficiencies.
  • Telecommuting permitted.

What you bring

  • Minimum Requirements for Position: Bachelor’s degree or foreign equivalent in Data Science, Computer Science, Information Management, Electronic Engineering or related field plus five years (5) of progressively responsible years of experience in job offered or related occupation.
  • Education and/or experience must include:
    • Build and maintain scalable data pipelines using Python, Spark, and Airflow.
    • Write complex SQL queries to extract, transform, and analyze large datasets.
    • Perform exploratory data analysis and apply statistical analysis techniques to identify patterns, anomalies, and actionable insights.
    • Develop dashboards and visualizations to monitor product, system, and business process health.
    • Translate complex datasets into clear, actionable visual outputs for ongoing monitoring.
    • Develop automated solutions to optimize operational and compliance workflows.
    • Apply large language models (LLMs) and Generative AI to automate and streamline processes.
  • Background checks required

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.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + 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 base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone.

Base Pay Range:

$141,773.00 - $162,000.00 per year

Apply by clicking APPLY NOW. Indicate job code B-4161 in your application.

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. 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.

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