Stripe is hiring a Data Analyst Intern in Toronto!
Stripe is hiring a Data Analyst Intern for its Toronto office as part of a competitive summer-style internship program within the company's Data Science community. Stripe builds programmable financial infrastructure used by more than ten million businesses, and interns are expected to work on real projects across the data stack that affect how those businesses operate rather than on toy problems. The intern owns a problem end to end with guidance from a manager and mentor, joining a group of analysts and scientists who work with some of the company's most foundational data. Day-to-day work centres on extracting insight from large, complex datasets, defining metrics, extending the semantic layer, building data assets and pipelines, and producing dashboards and reports that inform how the business is run. Interns also assess the impact of product launches and business decisions through analytics and A/B testing, and are expected to turn findings into clear, actionable recommendations. Because teams are matched to candidates based on background, the specific analytics group is determined after hiring. The posting stresses high expectations, curiosity, and comfort with ambiguity, and closes with a presentation of the intern's work to the Data Science team, partner teams, and other interns.
Key responsibilities
- Analyse data and run experiments that drive measurable business impact
- Generate the models, data products, and insights product, user, and business teams need to make decisions and grow responsibly
- Build metrics, reports, and dashboards used to run and monitor the business
- Extend Stripe's metrics semantic layer
- Create new data assets and improve existing ones supporting decisions, products, and processes
- Measure the impact of decisions, launches, and product improvements using business analytics and A/B testing
- Work effectively with a mentor and teammates, asking good questions and communicating work status clearly
- Present completed work to the Data Science team, partner teams, and fellow interns
Key requirements
- Currently enrolled in a quantitative Bachelor's or Master's program (e.g. data analytics, statistics, economics, mathematics) graduating December 2027 or spring/summer 2028
- Experience with SQL
- Proficiency using AI tools to speed up model development, analysis, and coding
- Experience communicating and collaborating with multidisciplinary stakeholders in a team setting
- Preferred: experience writing and debugging data pipelines
- Preferred: evidence of evaluating and acting on feedback from mentors, peers, and stakeholders, from prior internships or multi-person projects
- Preferred: ability to learn new systems independently while working with a mentor and subject matter experts
- Seniority: Intern
- Work mode: Not specified (Toronto)
- Key skills: SQL, AI tooling, Data pipelines, Dashboards and reporting, A/B testing, Business analytics, Metrics and semantic layers, Data storytelling, Stakeholder communication
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