Who we areAbout StripeStripe 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.About the teamData Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and Data Analysts are hired in line with the business needs and domain of the organization they will support.What you’ll doWe’re looking for a Data Analyst to partner with Stripe’s Global organization, helping millions of users sell around the world. You’ll help build analytics and data products for solutions such as Adaptive Pricing and Stripe Managed Payments, as well as Stripe’s expansion into new markets across LATAM and EMEA.ResponsibilitiesDesign and build scalable data models and infrastructure to power product analytics and metrics reporting as we launch and grow new productsOwn business-critical data products, including Tier-1 datasets and production pipelines, ensuring reliability through rigorous testing, monitoring, and documentationBuild and maintain the metric definitions, metadata, and business context that enable AI agents to help stakeholders explore trusted data and answer business questions independentlyDevelop dashboards, automated reporting, and thoughtful analyses to surface actionable insights and proactively identify business opportunitiesPartner closely with senior business leaders to translate business needs into analytical questions and deliver clear recommendations through deep-dive analysesShape product and business strategy across global markets by distilling complex findings into compelling data narratives for senior stakeholdersWho you areWe’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.Minimum requirements6+ years of full-time experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or a related analytical roleProficiency in SQL, including complex query optimization and data modelingProficiency in Scala or Python for data pipeline development, not just scripting and SQLExperience with distributed data frameworks like Spark to write and debug data pipelinesExperience with workflow orchestration tools (e.g. Airflow, Flyte, or equivalent)Proven ability to design, implement, and maintain production-grade data pipelines and dashboardsGood understanding of development processes and best practices like engineering standards, code reviews, and testingAbility to clearly communicate results and drive impact with cross-functional partnersExperience owning production data products with defined quality standards, testing, and documentationProficiency with AI tools to accelerate model development, analysis, and coding
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