Enterprise Risk Management Data Analyst

San Francisco, New York City, Seattle, Or Remote

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Stripe
Online payment processing for internet businesses. Stripe is a suite of payment APIs that powers commerce for online businesses of all sizes, including fraud prevention, and subscription management.
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Stripe exists to expand internet commerce and allow greater access to the online economy. We believe that talent is distributed equally but opportunity is not, and we aim to break down barriers to access by making it easy for new businesses and nonprofits to get started and equipping them with the tools they need to grow.

The Enterprise Risk Management (ERM) team is looking for a data analyst who is passionate about applying their analytical and engineering skills to democratize data, metrics and insights driven decision making for all Stripes. If you are naturally data curious, excited about deriving risk management insights from data, experienced in improving availability and usability of those insights, and motivated by having impact on the business, we want to hear from you.

At Stripe, you’ll be part of a rich Data Science community for Analysts, Scientists and Engineers to learn and grow together. At the same time, our embedded org structure means that you’ll be working closely with ERM.

You will:

  • Work closely with the ERM team to solve complex risk challenges
  • Be the subject matter expert for data management including data integrity, acquisition, mining, analysis, forecasting, metrics and reporting
  • Design, build and maintain business intelligence infrastructure to improve availability and usability of data and insights
  • Drive strategic initiatives to improve the quality and timeliness of insights
  • Build scalable automation solutions utilizing SQL, Presto, Spark, Tableau and other tools
  • Provide operational support for initiatives across a range of technical and non-technical topics
  • Create analyses that tell a “story” focused on business insights, not just data
  • Apply models on large datasets to measure results and outcomes
  • Partner with leaders effectively employing clear and structured communication

We’re looking for someone who has:

  • 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
  • Prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig/etc.)
  • Prior experience with visualization using Tableau
  • Strong knowledge of statistics and experimental design
  • Entrepreneurial spirit that thrives in a fast paced environment, deals well with ambiguity and focuses on driving impact
  • Proven ability to work cross-functionally, building and maintaining trust with internal stakeholders
  • High attention to detail including precise and effective communications
  • Hyper focus on and intuition for understanding the underlying needs of the business
  • Impeccable product taste and demonstrated success shipping products with great user experiences at scale

Nice to haves:

  • Master’s degree in Mathematics, Statistics, Engineering, or a related technical field
  • Experience in AWS, GCP or Azure
  • Knowledge of a scientific computing language (such as R or Python)
  • Prior experience at a growth stage internet or software company
  • 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
  • Link to or attachment of code you’ve written related to data analysis

 

Job perks/benefits: Startup environment
Job region(s): Remote/Anywhere North America
Job stats:  7  1  0
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