Data Analyst, Intern

About Stripe

Stripe is a technology company building programmable financial infrastructure to make it easier and cheaper for businesses to start and scale. Over 10 million businesses build on Stripe, processing trillions of dollars annually.

About The Team

Data Science at Stripe is a community for data analysts and data scientists focused on learning and growth. This role works with fundamental data to drive company-wide initiatives, and you will be aligned with a relevant team based on your background.

What you’ll do

As an intern, you will work on projects across the stack that impact how millions of businesses operate. You will own problems end-to-end with support from your manager and teammates. This is an opportunity to work with creative and technically rigorous data analysts and scientists.

Key Responsibilities

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

Requirements & Tech Stack

• SQL
• Proficiency with AI tools to accelerate model development, analysis, and coding.
• Experience communicating and collaborating with multidisciplinary stakeholders in a team environment.
• Experience writing and debugging data pipelines.
• Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders.
• Ability to learn new systems and form an understanding of them through independent research and collaboration.

Qualifications

• Enrolled in a quantitative Bachelor’s or Master’s degree program (e.g., Data Analytics, Statistics, Economics, Mathematics) with an expected graduation in December 2027 or spring/summer 2028.
• Ambitious builder: Energized by building solutions without clear precedent and solving problems with far-reaching consequences.
• Rigorous thinker: Enjoys working on problems that have never been tackled before.
• Adaptable problem solver: Adapts quickly and treats obstacles as opportunities.