Staff Data Analyst

Details

Stripe is a financial infrastructure platform for businesses. The Risk Data Science team builds the data foundations, models, and measurement frameworks that power Stripe's risk and product decisions, including underwriting, reserves, merchant interventions, and enablements.

The team is seeking an experienced data analyst to drive the data strategy for Stripe's risk as a product offering. This role will define the metrics, data products, and analytical frameworks needed as Stripe brings risk capabilities to platforms and connected accounts at scale. The role partners with Product, Engineering, and Risk leadership to align data investments with the product roadmap and designs metrics, pipelines, and data products that support risk decisioning.

Responsibilities

• Define and drive data strategy across multiple teams, shaping the roadmap rather than only executing it.
• Own the definition, reliability, and visibility of critical risk metrics.
• Establish canonical north-star and operational metrics that are trustworthy, documented, and surfaced to the right audiences.
• Build and maintain infrastructure that keeps metrics accurate as data and product landscapes evolve, including ownership models, regression alerting, and scalable pipelines.
• Own and evolve Stripe's risk experimentation strategy by defining what to test, how to measure results, and how to evaluate changes to risk policies, merchant journeys, and risk models across diverse merchant populations.
• Build and scale data products such as metrics frameworks, pipelines, and dashboards that serve as operational infrastructure.
• Partner with Product, Engineering, Risk, and business teams and influence without direct authority.
• Mentor Data Analysts and establish technical and strategic standards. Guide junior and senior analysts in framing ambiguous problems, structuring analyses, and communicating findings to senior stakeholders.

Requirements

• 10+ years of experience in Data Analytics, Data Science, or related roles.
• Proven experience defining and driving data strategy across multiple teams.
• Experience designing experimentation frameworks or measurement strategies for complex, multi-variant systems such as risk policies, pricing, or marketplace dynamics.
• Deep expertise in SQL and proficiency in Python.
• Ability to translate ambiguous business problems into structured analytical approaches and communicate findings to executive stakeholders.
• Experience building and scaling operational data products, including metrics frameworks, pipelines, and dashboards.
• Demonstrated ability to influence engineering, product, and business teams without authority.
• Proficiency with AI tools to accelerate model development, analysis, and coding.

Preferred Qualifications

• Master's degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
• Experience in risk, trust and safety, or related domains, with an understanding of risk in the fintech space.
• Experience building data for platform or product offerings where data is part of the product surface, rather than only internal analytics.
• Familiarity with causal inference and A/B testing in non-standard environments where randomization is constrained by risk considerations.