Staff Data Analyst

About the team

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.

What you'll do

• Drive the data strategy for Stripe's risk as a product offering. Define the metrics, data products, and analytical frameworks needed as Stripe brings risk capabilities to platforms and connected accounts at scale.
• Partner with Product, Engineering, and Risk leadership to ensure data investments align with the product roadmap. Design metrics, pipelines, and data products that serve as the analytical backbone for risk decisioning.
• Own the definition, reliability, and visibility of Stripe's most important risk metrics. Establish a canonical set of north star and operational metrics and ensure they are trustworthy, well-documented, and consistently surfaced to the right audiences.
• Build and maintain the infrastructure that keeps these metrics accurate as Stripe's data and product landscape evolves, including clear ownership, alerting on regressions, and scalable pipelines that reduce the cost of keeping insights current.
• Own and evolve Stripe's risk experimentation strategy by defining what we test, how we measure, and how we learn. Ensure we can rigorously evaluate the impact of changes to risk policies, merchant journeys, and risk models across diverse merchant populations.
• Mentor and raise the bar for the Data Analysts on the team. Set technical and strategic standards. Guide junior and senior analysts on how to frame ambiguous problems, structure analyses for maximum impact, and communicate findings to senior stakeholders.

Minimum requirements

• 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

Preferred qualifications

• 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)

Hybrid work at Stripe

This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. Remote locations are defined as being 35 miles (56 kilometers) or more from one of our offices — you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location.

Pay and benefits

The annual US base salary range for this role is $179,000 - $268,400. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.