Das ist der Job
Partner with Product, Engineering, and Risk leadership to ensure data investments align with the product roadmap.
Darum lohnt es sich
Mentor and raise the bar for the Data Analysts on the team. Track record of defining and driving data strategy across multiple teams: not just executing on a roadmap, but shaping it. What you’ll do Define metrics, data products, and analytical frameworks needed as Stripe brings risk capabilities to platforms and connected accounts at scale.
Design metrics, pipelines, and data products that serve as the analytical backbone for risk decisioning. Own the definition, reliability, and visibility of our 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 our 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. 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.
Experience designing experimentation frameworks or measurement strategies for complex, multi‑variant systems (e.g., risk policies, pricing, marketplace dynamics). #J-18808-Ljbffr
