Staff Data Analyst

5 hours, 2 minutes ago
Lead
Data Science and Analytics
Stripe

Stripe

Stripe is a global technology company that provides financial infrastructure for the internet. They offer a suite of APIs and tools for businesses to accept online and in-person payments, automate financial processes, and embed financial services in th...

Diversified Financial Services
5K-10K
Founded 2009
$8700M raised

Description

  • Define the metrics, data products, and analytical frameworks for Stripe’s risk-as-a-product offering.
  • Partner with Product, Engineering, and Risk leadership to align data investments with the product roadmap.
  • Design metrics, pipelines, and data products that support risk decision-making.
  • Own the definition, reliability, and visibility of Stripe’s most important risk metrics.
  • Establish and maintain a canonical set of north star and operational metrics.
  • Build and maintain infrastructure that keeps risk metrics accurate as data and products evolve.
  • Create clear metric ownership, alerting for regressions, and scalable pipelines for current insights.
  • Own and evolve the experimentation strategy for risk policies, merchant journeys, and risk models.
  • Mentor Data Analysts on the team and raise technical and strategic standards.
  • Guide analysts in framing ambiguous problems, structuring high-impact analyses, and communicating findings to senior stakeholders.

Requirements

  • 10+ years of experience in Data Analytics, Data Science, or related roles.
  • A track record of defining and driving data strategy across multiple teams.
  • Experience designing experimentation frameworks or measurement strategies for complex, multi-variant systems.
  • Deep expertise in SQL and proficiency in Python.
  • Strong ability to translate ambiguous business problems into structured analytical approaches and communicate findings to executive stakeholders.
  • Experience building and scaling data products such as metrics frameworks, pipelines, and dashboards.
  • Demonstrated ability to influence without authority across engineering, product, and business teams.
  • Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field is preferred.
  • Experience in risk, trust & safety, or related domains, especially in fintech, is preferred.
  • Experience building data for platform or product offerings where data is part of the product surface is preferred.
  • Familiarity with causal inference and A/B testing in non-standard environments is preferred.

Interested in this position?

Apply directly on the company website

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