Data Analyst, Intern
📍 New York City, United States
📍 South San Francisco, United States
📍 Seattle, United States
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
A/B Testing
AI @ 5
Data Pipelines @ 3
Data Science
Debugging @ 3
Mathematics @ 3
SQL @ 3
Statistics @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Stripe is a technology company building programmable financial infrastructure for businesses worldwide. The Data Science organization is a community where data analysts and data scientists collaborate on company-wide initiatives using Stripe's fundamental data.
Interns work on projects across Stripe's data stack, owning problems end to end with support from managers and teammates. The role involves partnering with teams across Stripe to develop models, data products, and insights that support responsible decision-making and growth. Interns extract insights from complex data, build metrics, scalable data pipelines, dashboards, and reports, and deliver actionable recommendations through analysis and data storytelling.
Responsibilities
- Analyze data and run experiments to drive impact.
- Develop models, data products, and insights for users, products, and business decision-making.
- 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
- Enrollment 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 for accelerating model development, analysis, and coding.
- Experience communicating and collaborating with multidisciplinary stakeholders in a team environment.
Preferred Qualifications
- Experience writing and debugging data pipelines.
- 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 them through independent research and collaboration with mentors and subject matter experts.
Work Style
Stripe's internship program is competitive and has high expectations. Successful interns are ambitious builders, rigorous thinkers, and adaptable problem solvers who are curious, collaborative, and comfortable tackling unfamiliar problems.