Data Analyst, Intern

Stripe, Inc.; Canada; Remote; CAD 32,000 - 42,000; Full time

Job summary

Stripe, Inc. is seeking a data analytics intern to work on projects across our data stack. You will own problems end to end with support from your mentor and teammates, delivering insights that inform product and business decisions.

You will build metrics, data pipelines, and dashboards while collaborating with multidisciplinary stakeholders to drive responsible growth and learn from leading data professionals in the industry.

Qualifications

• Enrolled in a quantitative Bachelor's or Master's degree with expected graduation 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.

Responsibilities

• Analyze data and run experiments to drive impact.
• Develop metrics, reports, and dashboards to inform and run the business.
• Extend Stripe’s metrics semantic layer and build data assets to support decision-making.
• Build new data assets and improve existing data assets to support decision-making, products, and business processes.
• Present analyses to the Data Science team, partner teams, and fellow interns.

Skills

SQL

AI tools

Team collaboration

Communication

Education

Bachelor's or Master's in a quantitative field

Job description

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. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible.

Though people at Stripe don't tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many (especially the new and innovative ones), we think that Stripe is one of the very best places to learn about how the world works.

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. 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 you’ll do

As an intern at Stripe you'll work on projects across our 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. It's an opportunity to work alongside some of the most creative and technically rigorous data analysts and scientists in the industry. You'll partner deeply with teams across Stripe to ensure that our users, our products, and our 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 the 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.

Our internship program is competitive and the expectations are high.

Responsibilities

• 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

Who you are

• 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.

Minimum requirements

• 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

Preferred qualifications

• 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