About the company

Robinhood is democratizing our financial system. We offer commission-free* investing and trading. Investing in stocks, ETFs and options is offered through Robinhood Financial LLC. Cryptocurrency* trading is offered through Robinhood Crypto, LLC. Robinhood Financial, our broker-dealer, is a fast-growing brokerage firm with millions of users and billions of dollars in transaction volume. Robinhood* is based in Menlo Park, California, Lake Mary, Florida and London, UK. 

*Relevant SEC and FINRA or other fees may still apply. Please see Robinhood’s Fee Schedule at https://about.Robinhood.com/legal. Robinhood Crypto is not a member of FINRA or SIPC. Cryptocurrencies are not stocks and your cryptocurrency investments are not protected by either FDIC or SIPC insurance. Robinhood means Robinhood Markets, Inc. and its subsidiaries, including Robinhood Financial LLC (member SIPC), Robinhood Crypto, LLC, and Robinhood International, Ltd.

About the Role

Insights from data power most decisions at Robinhood. Data Analyst at Robinhood works with stakeholders in several teams such as product, marketing, engineering, finance, customer support, and compliance to understand and analyze data from all parts of Robinhood's business to power these decisions. Our company trajectory is defined by the systems, tools, and analytics powered by our exceptional team.

As a Data Analyst you will:

  • Develop and share insights around the key metrics that drive the company.
  • Work with stakeholders to identify the key metrics different departments should track, and develop and share reports and dashboards to successfully track these metrics.
  • Power quick decisions by answering business questions by querying our vast datasets.
  • Adapt quantitative techniques to solve problems across several teams, such as product, operations, customer support, compliance, and security.
  • Mentor others as needed to democratize the use of data within the company.

Some things we consider critical to being a Data Analyst: 

  • BA/BS in a quantitative field such as mathematics, statistics, engineering or natural sciences (or equivalent experience).
  • Excellent programming skills, including expert level familiarity with either Python (numpy, scipy, pandas) or R programming languages.
  • Expert level SQL skills.
  • Solid understanding of statistical analysis.
  • Experience with communicating data driven insights

Note to Recruiters and Placement Agencies: Robinhood does not accept unsolicited agency resumes. Robinhood does not pay placement fees for candidates submitted by any agency other than its approved partners.

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