Data Analyst, Intern

Details

Who We Are

About Stripe

Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier—from solo founders to established enterprises—united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP.

Stripe invests heavily in technology, making daily product upgrades, maintaining reliable APIs, building financial infrastructure, and advancing risk and fraud infrastructure to make the internet economy safer and more accessible.

About the Team

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. Stripe has a variety of Data Analytics roles and teams and will seek to align you with the most relevant team based on your background.

What You'll Do

As an intern at Stripe, you'll work on projects across the stack that directly impact the way millions of businesses operate. You'll own problems end to end with the support of your manager and teammates. You'll work alongside data analysts and scientists, partnering with teams across Stripe to ensure that users, products, and the business have the models, data products, and insights needed to make decisions and grow responsibly.

You'll work closely with partners to extract insights from rich and complex data at Stripe. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business recommendations through analyses and data storytelling.

The internship program is competitive and expectations are high.

Responsibilities

• Analyze data and run experiments to drive impact.
• Ensure that users, products, and the business have the models, data products, and insights needed to make decisions and grow responsibly.
• Create metrics, reports, and dashboards to inform and run the business.
• Extend Stripe's metrics semantic layer.
• Build new data assets and improve existing data assets to support decision-making, products, and business processes.
• Assess the impact of decisions, product launches, and product improvements using business analytics and A/B testing.
• Learn quickly by asking effective questions, working with mentors and teammates, and communicating work status clearly.
• Present work to the Data Science team, partner teams, and fellow interns.

Requirements

Minimum Requirements

• Enrolled in a quantitative bachelor's or master's degree program, such as Data Analytics, Statistics, Economics, or Mathematics, with an expected graduation date of December 2027 or spring/summer 2028.
• Experience with SQL.
• Proficiency with AI tools to accelerate model development, analysis, and coding.
• Experience communicating and collaborating with multidisciplinary stakeholders in a team environment.

Preferred Qualifications

• Experience writing and debugging data pipelines.
• Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders through previous internships or other multi-person projects.
• Ability to learn new systems and develop an understanding of those systems through independent research and collaboration with mentors and subject matter experts.

Professional Attributes

• Ambitious builder: Energized by building solutions without clear precedent and solving problems with far-reaching consequences.
• Rigorous thinker: Appreciates that complex problems require thoughtful analysis and enjoys tackling challenges that have never been addressed before.
• Adaptable problem solver: Adapts quickly, treats obstacles as opportunities, and takes measured risks in the absence of consensus.