Data Analyst, Banking and Financial Products
Seattle, WA OR New York, NY OR NA Remote
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.Data Analyst, Banking and Financial Products
Help build Stripe’s newest businesses
Seattle, NYC, Remote
Stripe’s Banking and Financial Products group is building new products that expand the scope of problems we tackle beyond payments and into the rest of the financial stack. Right now this includes Capital, Issuing, Treasury, and Atlas - and there’s more on the way. We have an ambitious end goal to allow global businesses to run their entire financial life cycle on Stripe, and we want you to be part of our story.
We’re looking for an experienced data analyst to partner with this team to dramatically improve our products.
You will:
- Work closely with PMs, engineers, and business partners to identify important data science questions for new B&FP products
- Conduct analysis to understand user behavior and optimize products
- Develop highly-visible dashboards and automated reporting related to key performance metrics
- Design, analyze, and interpret the results of A/B experiments that span multiple Stripe product areas
- Shape and influence our data models and instrumentation to generate insights on new areas of opportunity and new products
We’re looking for someone who has:
- 3+ years experience in product analytics
- Extensive experience and passion for metrics and dashboards visualizations
- Highly skilled at writing SQL to query relational databases
- Strong communication and presentation skills
- Degree in a quantitative field (e.g., Statistics, Economics, Math, Sciences, Engineering)
Nice to haves:
- Experience with tools for working with “big data” in a distributed fashion (Spark, Hadoop, etc.)
- Experience analyzing financial industry products
- Expert knowledge of a scientific computing language (such as Python or R)
- Strong knowledge of statistics and experimental design
Tags: A/B testing Banking Big Data Economics Engineering Hadoop Python R RDBMS Spark SQL Statistics
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