Data Analyst, Intern
Stripe · Toronto · 5112 General University · listed October 1, 2026
The shape of it
Seniority
Internship
Where
Not stated
Requirements listed
7
Length
841 words
In the posting’s own words
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 will seek to align you to the most relevant team based on your background.
What it asks for · 7
- Ambitious builder: You’re energized by building solutions without clear precedent and solving problems with far-reaching consequences. Successful Stripes are deeply curious, and prefer the joy of discovery to the comfort of certainty.
- Rigorous thinker: You appreciate that things worth doing are rarely simple. You enjoy working on problems that have never been tackled before.
- Adaptable problem solver: You adapt quickly and treat obstacles as opportunities. At Stripe we embrace kindness while encouraging Stripes to take measured risks and act boldly, even in the absence of consensus.
- Enrolled in a quantitative Bachelor’s or Master's degree program (e.g. Data Analytics, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in 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
Also a plus
- Experience writing and debugging data pipelines
- Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
- Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
What the job covers
- Analyze data and running experiments to drive impact
- Ensure that our users, our products, and our 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 great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
- Present your work to the Data Science team, partner teams, and fellow interns
Degree language
- Enrolled in a quantitative Bachelor’s or Master's degree program (e.g. Data Analytics, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in December 2027 or spring/summer 2028
Tools and skills named
Data
- Data pipelines2×
- Experimentation
- Statistics
Frameworks
- Spring
Languages
- SQL
Ways of working
- Testing
Words the posting leans on
- data18×
- business7×
- products7×
- experience4×
- problems4×
- decisions3×
- impact3×
- learn3×
- mentor3×
- metrics3×
- partner3×
- build2×
- communicating2×
- dashboards2×
- data analysts2×
- data analytics2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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