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Data Analyst
⚙️ Really an Engineer ⚙️
🎓
sql
r
python

Stripe is hiring a
Data Analyst

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Payments are the core of Stripe’s business, and the groups and teams within Payments are broadly responsible for processing and moving funds at a huge scale.

Stripe’s goal is to make payments dead simple for our users. Internally, we operate a complex network of systems which interact with all parts of the financial system. We build infrastructure for charging credit cards (or other payment methods, like bank transfers or Alipay), integrations with our banking partners to send transfers to our users across the globe, systems that collect Stripe’s revenue and estimate cost, and more. Collectively, these systems power all payments products at Stripe, and we’re looking for talented analysts to come help us use data to understand and optimize these complex processes and serve our users’ needs. Strong analysts are critical to our mission of building world-leading financial products and infrastructure and if this sounds exciting, we hope you will join us!

What you'll do

  • Work closely with product and engineering teams to identify important questions around how to define key metrics
  • Conduct analyses and opportunity sizing to define addressable markets and operational opportunities for improvement
  • Develop compelling dashboards and automated reporting related to key performance metrics
  • Communicate results and influence key decision makers, including engineering, and business leaders

Who you are

  • 5+ years experience in product analytics
  • Extensive experience and passion for metrics and dashboards visualizations 
  • Highly skilled at writing SQL to query relational databases; knowledge of R or Python is a plus
  • Strong communication and presentation skills
  • Degree in a quantitative field (e.g., Statistics, Economics, Math, Sciences, Engineering)
How to Apply?
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