Data Analyst, Risk

San Francisco, CA

Full Time
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Posted 3 weeks ago

Are you excited to solve complex problems using data? Are you an analytical thinker who thinks in scalable solutions? Do you want to make an impact in a high growth company? If yes, then we would love to hear from you!

Stripe handles billions of dollars every year for millions of businesses around the world, and the Risk team plays a critical role in the company’s financial and partnership health. Risk is a dynamic space where we face ever-evolving challenges, and we rely heavily on data to measure and forecast our success, ensure high-quality decisions, and point towards future opportunities.

The Data Analyst team is looking for talented analysts to provide analytical solutions to a variety of Risk challenges and support rigorous decision making with data-driven approaches to business needs.

You will:

  • Use analytical and statistical techniques to solve complex problems and drive business decisions
  • Provide valuable insights through ad-hoc analyses, as well as drive long-terms projects
  • Develop key performance metrics for the business, and be in charge of visualization design and implementation
  • Work cross-functionally with different engineering, product and business teams
  • Influence risk strategy and prioritization through data
  • Communicate key findings to leadership and make recommendations around risk and product strategies
  • Mentor other team members

We’re looking for someone with:

  • 4+ years of professional experience in data analytics or a related field
  • Highly skilled at writing SQL to query relational databases
  • Experience with different data and statistical analysis techniques
  • Strong data visualization skills and the ability to communicate findings to both technical and non-technical stakeholders
  • Ability to navigate a complex data landscape and make decisions in a fast-paced environment with minimal documentation and process

Nice to haves:

  • Experience with evaluating predictive model performance and understanding of ML algorithms
  • Experience with a statistical coding language, such as Python or R
  • Experience with setting up or modifying data pipeline jobs (using Spark SQL, Scala, etc)
  • 1+ years of experience in risk, trust & safety, or spam prevention

 

Job tags: Data Analytics Engineering ML Python R Scala Spark SQL
Job region(s): North America
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