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Operational Analytics Data Analyst
over 1 year ago | 1906 views | 5 applications

Operational Analytics Data Analyst

California, Denver, Menlo Park, New York, Texas
Per year
$80,000 To $120,000

About the company

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

Job Summary

The Operational Analytics team at Robinhood is responsible for supporting the Platform Shared Services Org by helping it scale operationally. Our mission is to deliver an excellent end-customer experience and mitigate firm risk while supporting innovative brokerage, crypto & payments products. As an Operational Data Analyst, you’ll be responsible for identifying and tracking key metrics that drive Robinhood’s business lines specifically focused on Fraud, Fincrimes, Account Operations, Customer Service and Vendor Management. You’ll use data to craft recommendations for new products or tooling and advise leadership on operational strategy, consult with cross-functional partners on operational needs, build new tools for the brokerage operations department, advise on department-level decisions, consult on workforce management, and report on the health of Robinhood’s middle office operations. This role will be critical to identifying, consulting, and building the infrastructure to effectively run Robinhood’s introducing broker-dealer.

What you'll do:

Build and identify operational metrics to share with stakeholders in the form of easily digestible dashboards via technology tools such as SQL, Looker, Python. Perform root cause analysis to identify key areas of improvement in our operational processes. Partner with data and engineering teams build out the infrastructure to track key business metrics Help identify and assess emerging risks, and advise on mitigation strategies Aggregate data for incident response, regulatory inquiries, and other course-of-business happenings Work closely with our operations, engineering and product teams to launch, improve, de-risk, and scale Robinhood’s products and systems Ensure data requirements for operations teams are met when launching new initiatives or products Identify and analyze data and produce digestible reports that assess performance and ultimately improve processes Forecast staffing needs for growth, new processes, and new product launches About you:

Passion for Robinhood’s products and our mission to democratize finance for all Ability to learn quickly, think critically, and apply problem-solving skills to resolve issues and implement process improvements Strong analytical skills Long-term thinking; ability to identify and mitigate risks proactively Bachelor’s Degree in Economics, Engineering, Math, Business, Finance or similar field Excellent working knowledge of SQL, Python, and Looker 3-5 years of qualifying experience in a professional data analysis capacity Strong communication skills; bias for collaboration Bonus points:

Strong Robinhood product knowledge Quantitative finance skills Experience in retail brokerage operations Undergraduate degree in CS Masters degree in quantitative discipline

This role is also eligible for an annual discretionary bonus and participation in Robinhood’s equity plan.

Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience. Please note, some of our roles are open to additional levels which would impact the expected base pay.

We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

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