Staff Data Analyst

Stripe · US · 7112 Data Science · listed May 13, 2026

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The shape of it

Seniority
Staff
Where
Not stated
Requirements listed
8
Length
601 words

In the posting’s own words

The Risk Data Science team builds the data foundations, models, and measurement frameworks that power Stripe's risk and product decisions — from underwriting and reserves to merchant interventions and enablements. We're at an inflection point: as Stripe increasingly offers risk capabilities as a product to platforms and users, we need a data leader to shape how we build, measure, and evolve our risk data strategy across the

What it asks for · 8

  • 10+ years in Data Analytics, Data Science, or related roles
  • Track record of defining and driving data strategy across multiple teams — not just executing on a roadmap, but shaping it
  • Experience designing experimentation frameworks or measurement strategies for complex, multi-variant systems (e.g., risk policies, pricing, marketplace dynamics)
  • Deep expertise in SQL; 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 (metrics frameworks, pipelines, dashboards) that become operational infrastructure, not one-off analyses
  • Demonstrated ability to influence without authority across engineering, product, and business teams
  • Proficiency with AI tools to accelerate model development, analysis and coding

Also a plus

  • Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field
  • Experience in risk, trust & safety, or related domains and understanding of risk in the Fintech space
  • Experience building data for platform/product offerings where data is part of the product surface, not just internal analytics
  • Familiarity with causal inference and A/B testing in non-standard environments (e.g., where randomization is constrained by risk considerations)

Tools and skills named

Data
  • Experimentation3×
  • Statistics
Languages
  • Python
  • SQL
Product & design
  • Roadmap2×
Models & research
  • Inference
Ways of working
  • Testing

Words the posting leans on

  • data17×
  • risk16×
  • product11×
  • metrics6×
  • experience4×
  • frameworks4×
  • requirements4×
  • analysts3×
  • analytical3×
  • build3×
  • data products3×
  • data strategy3×
  • engineering3×
  • ensure3×
  • evolve3×
  • merchant3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 24, 2026 and last changed by Stripe on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.