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Staff Data Analyst

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7112 Data Science
This position may no longer be active.View all open positions at Stripe

About the Role

At Stripe, a Most Loved Workplace® certified employer in the Financial Services space, Economic infrastructure for the internet, powering ambitious businesses globally..

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<h3><span style="font-size: 24pt;"><strong>Who we are</strong></span></h3>

<h3><strong>About Stripe</strong></h3>

<p>Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.</p>

<h3><strong>About the team</strong></h3>

<p>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 </p>

<h2><strong>What you’ll do</strong></h2>

<p>We are looking for an experienced data analyst to drive the data strategy for our 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. You will design metrics, pipelines, and data products that serve as the analytical backbone for risk decisioning.</p>

<p>You will 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.</p>

<p>You will also 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.</p>

<p>Finally, you will 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.</p>

<h2><strong>Who you are</strong></h2>

<p>We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.</p>

<h3><strong>Minimum requirements</strong></h3>

<ul>

<li>10+ years in Data Analytics, Data Science, or related roles                                          </li>

<li>Track record of defining and driving data strategy across multiple teams — not just executing on a roadmap, but shaping it                                                                                  </li>

<li>Experience designing experimentation frameworks or measurement strategies for complex, multi-variant systems (e.g., risk policies, pricing, marketplace dynamics)                                             </li>

<li>Deep expertise in SQL; proficiency in Python</li>

<li>Strong ability to translate ambiguous business problems into structured analytical approaches and communicate findings to executive stakeholders                                                           </li>

<li>Experience building and scaling data products (metrics frameworks, pipelines, dashboards) that become operational infrastructure, not one-off analyses                                                        </li>

<li>Demonstrated ability to influence without authority across engineering, product, and business teams</li>

<li>Proficiency with AI tools to accelerate model development, analysis and coding</li>

</ul>

<h3><strong>Preferred qualifications</strong></h3>

<ul>

<li>Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field</li>

<li>Experience in risk, trust & safety, or related domains and understanding of risk in the Fintech space</li>

<li>Experience building data for platform/product offerings where data is part of the product surface, not just internal analytics                                                                              </li>

<li>Familiarity with causal inference and A/B testing in non-standard environments (e.g., where randomization is constrained by risk considerations)</li>

</ul>

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Want to learn more about what it's like to work at Stripe? View our full profile.

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What It's Like to Work Here

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Frequently Asked Questions About Working at Stripe

Common questions candidates ask about this role and Stripe's workplace

Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes.

Please review the specific job listing or contact Stripe's recruiting team for details on remote or hybrid work options for this role.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

Stripe is an established organization in its industry. The company focuses on maintaining a supportive workplace culture for all employees.

Key benefit categories include: Health & Wellness, Financial & Lifestyle, Learning & Development, Work Environment. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Problem-Solving Excellence and Global Perspective and Customer Obsession.

The company has committed to inclusive practices including: Invest in Growth and Development and Foster Psychological Safety and Inclusion.

Stripe has a supportive and collaborative culture, recognized as a loved place to work by its team members.

Stripe currently has 490 open positions. They are hiring across departments like 1650 AI GTM Strategy & Solutions, 1195 Account Executives (APAC), 1175 Enterprise - Account Executives (NA). You can view all current openings at certcheck.mostlovedworkplace.com/companies/stripe/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact Stripe's recruiting team for specific details on this role's process.

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