Data Analyst, Product and Partner Platform

San Francisco or Seattle

Full Time
Stripe logo
Stripe
The new standard in online payments
Apply now Apply later

Posted 1 month ago

  Stripe builds the most powerful and flexible tools for running an internet business. We handle billions of dollars each year and enable millions of users around the world to scale faster and more efficiently by building their businesses on Stripe. More than half of US internet users have purchased something from a Stripe user in the past year.   We’re looking for data analysts to work closely with the Product and Partner Platform team. Our mission is to enable users to continually adopt and integrate Stripe at all stages of their lifecycle from the ambitious startup to late-stage scaled business with a surprisingly great experience. We build core products and infrastructure for both users and Stripe product teams, and are responsible for the overall productivity and effectiveness of the core Stripe user-facing surfaces, including the API, Dashboard and CLI. If you are naturally data curious, excited about both deriving insights from data and designing data pipelines to improve availability and usability of those insights, and motivated by having impact on the business, we want to hear from you.   You will:
  • Work closely with engineers, product managers, UX researchers and data scientists on the Product and Partner Platform team to identify important questions and answer them with data
  • Create compelling analyses that tell a “story” to shape product and business strategy
  • Lead the development of actionable user experience metrics using internal and external signals across Stripe user-facing surfaces
  • Design, build and update data pipelines to improve availability and usability of events-based dashboard and API data and insights in SparkSQL
  • Automate reporting and visualization of Product and Partner Platform metrics
  • Develop guides for teams to use metrics in all projects and product changes
  We’re looking for someone with:
  • 6+ Years of experience in a Business Intelligence Engineering, Data Engineering, Data Analyst and/or Data Science role, with a focus on building data pipelines and/or analyzing large data sets to solve problems
  • Bachelor’s degree in Mathematics, Statistics, Engineering, or a related technical field
  • Expert knowledge of SQL
  • Strong data visualization skills
  • Outstanding written and verbal communication skills with the ability to communicate findings to both technical and non-technical stakeholders
  • Prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig/etc)
  • Experience with data and statistical analysis techniques
  • Entrepreneurial spirit that thrives in a fast paced environment, deals well with ambiguity and focuses on driving impact
  Nice to haves:
  • Master’s degree in Mathematics, Statistics, Engineering, or a related technical field
  • Experience with events-based data
  • Knowledge of a scientific computing language (such as R or Python)
  • Knowledge of experimental design
  • Good understanding of the development process and best practices (e.g., sprint planning, coding standards, code reviews, testing and validation) with an appreciation for maintaining a high quality bar with low operational overhead
  You should include these in your application:
  • Resume and LinkedIn profile
  • Description of the most interesting analysis you’ve done, key findings and impact
Job tags: Business Intelligence Engineering Hadoop Python R Spark SQL UX
Job region(s): North America
Share this job: