Stripe13.05.2026

Staff Data Analyst

Обязанности

01Define the metrics, data products, and analytical frameworks needed as Stripe brings risk capabilities to platforms and connected accounts at scale
02Partner with Product, Engineering, and Risk leadership to ensure data investments align with the product roadmap
03Design metrics, pipelines, and data products that serve as the analytical backbone for risk decisioning
04Own the definition, reliability, and visibility of our most important risk metrics
05Establish a canonical set of north star and operational metrics and ensure they are trustworthy, well-documented, and consistently surfaced to the right audiences
06Build and maintain the infrastructure that keeps these metrics accurate as our data and product landscape evolves, including clear ownership, alerting on regressions, and scalable pipelines that reduce the cost of keeping insights current
07Own and evolve Stripe's risk experimentation strategy by defining what we test, how we measure, and how we learn
08Ensure we can rigorously evaluate the impact of changes to risk policies, merchant journeys, and risk models across diverse merchant populations
09Mentor and raise the bar for the Data Analysts on the team
10Set technical and strategic standards
11Guide junior and senior analysts on how to frame ambiguous problems, structure analyses for maximum impact, and communicate findings to senior stakeholders

0110+ years in Data Analytics, Data Science, or related roles
02Track record of defining and driving data strategy across multiple teams — not just executing on a roadmap, but shaping it
03Experience designing experimentation frameworks or measurement strategies for complex, multi-variant systems (e.g., risk policies, pricing, marketplace dynamics)
04Deep expertise in SQL
05Proficiency in Python
06Strong ability to translate ambiguous business problems into structured analytical approaches and communicate findings to executive stakeholders
07Experience building and scaling data products (metrics frameworks, pipelines, dashboards) that become operational infrastructure, not one-off analyses
08Demonstrated ability to influence without authority across engineering, product, and business teams