Risk Operations Data Analyst
N/A
Stripe
Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes. Accept payments, send payouts, and automate financial processes with a suite of APIs and no-code tools.Stripe is the best software platform for running an internet business. We handle hundreds of billions of dollars every year for millions of businesses around the world. Risk is a dynamic space where we face ever-evolving challenges. An effective risk management plays a critical role in the company’s financial and partnership health. We rely heavily on data to measure and forecast our success, ensure high-quality decisions, and point towards future opportunities.
We’re looking for a talented data analyst to join the Data Science team to help us better understand our users, build better products, and optimize our operation. If you are data curious, excited about deriving insights from data, and motivated by having an impact on the business, we want to hear from you.
In this role, you will:
- Act as an embedded partner to the Risk Operations team, identify and answer questions with data and analyses, effectively communicate to key stakeholders, and drive actions to improve operational efficiency.
- Influence risk operation strategy and prioritization through data
- Work cross-functionally with different engineering, product and business teams
- Design metrics and dashboards for key performance indicators and deep dive to understand the drivers
- Build scalable ETL solutions utilizing SQL, Presto, Spark, Tableau and other tools
- Conduct analyses and opportunity sizing for new operational initiatives
We’re looking for someone who has:
- 3+ years experience analyzing large data sets to solve problems and drive impact
- Entrepreneurial spirit that thrives in a fast paced environment, deals well with ambiguity and focuses on driving impact
- Expert knowledge of SQL
- Experience in working with multiple cross-functional teams to deliver results, building and maintaining trust with internal stakeholders
- Strong communication and presentation skills
- Passion for metrics and dashboard visualizations. Prior experience with visualization using Tableau or Looker
- Knowledge of Python and prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig/etc.)
- Degree in a quantitative field (e.g., Operations Research, Economics, Statistics, Sciences, Engineering)
Tags: Data pipelines Economics Engineering ETL Hadoop Looker Pipelines Python Research Spark SQL Statistics Tableau
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