Data Analyst, NYC

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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<h2>Who we are</h2>

<h3>About Stripe</h3>

<p><span style="font-weight: 400;">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.</span></p>

<h3>About the team</h3>

<p>Data 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.</p>

<h2>What you’ll do</h2>

<p>We’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.</p>

<h3>Responsibilities</h3>

<ul>

<li>Design and build scalable data models and infrastructure to power product analytics and metrics reporting as we launch and grow new products</li>

<li>Own business-critical data products, including Tier-1 datasets and production pipelines, ensuring reliability through rigorous testing, monitoring, and documentation</li>

<li>Build and maintain the metric definitions,

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