Stripe

Data Analyst, Banking and Financial Product

Stripe

Remote job description

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
  • Experience building ETL pipelines
  • 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



Summary
Company name: Stripe
Remote job title: Data Analyst, Banking and Financial Product
Job tags: statistics, Product Analytics, SQL
  • location or timezone

    North America
  • category

    Data
  • posted

    875 days ago

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