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Added 7 mins ago
Member Service Specialist (On Site)
Prospera Credit Union
Chilliwack, BC
Full-time
…developing positive relationships and satisfying our members' product and service…
Added 7 mins ago
Sr. Quality Engineer
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Nisku, AB
Full-time
…(CQE) Body of Knowledge or similar, including quality systems, product and process control, statistical analysis, risk management, continuous improvement, and leadership of cross-functional…
Added 7 mins ago
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Use proper labelling, dating, and FIFO rotation methods to maintain product freshness and minimize waste.
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$18.25 to $21.58 CAD / hour
Other
Access to extensive product training and development opportunities
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$136,000 to $186,000 CAD / year
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Added 7 mins ago
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For a CMO, that's a rare seat: the chance to define a category, not just compete in one. You get to market a marketing product to marketers and collaborate with a CEO who is a Marketer…
Added 7 mins ago
Seasonal Customer Experience Representative
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$18.25 to $20.95 CAD / hour
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Added 7 mins ago
Seasonal Customer Experience Representative
Indigo Books & Music
Waterloo, ON
$17.6 to $17.95 CAD / hour
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Added 7 mins ago
Data Scientist
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Test the performance of data-driven products and make recommendations for improving Geotab’s product suite.
Added 21 mins ago
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Added 21 mins ago
GCP Data Engineer
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Added 21 mins ago
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Added 21 mins ago
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Added 21 mins ago
Senior Data Scientist
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Added 21 mins ago
Associate Product Designer / 6-month contract
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Added 21 mins ago
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Stripe

Data Analyst, Intern

Toronto, ON, Canada

Posting language: English
Posted: Oct 1, 2026

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Original 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

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More about this job

Responsibilities

The intern will analyze complex data to drive company-wide initiatives and build scalable data pipelines, dashboards, and metrics. They will also partner with cross-functional teams to deliver actionable business recommendations and assess the impact of product launches.

Requirements

Candidates must be enrolled in a quantitative Bachelor's or Master's degree program with an expected graduation in 2027 or 2028. Proficiency in SQL and experience collaborating with multidisciplinary stakeholders are required.

Skills

SQL
Data Analysis
Data Pipelines
A/B Testing
Data Modeling
Business Analytics
Data Storytelling
Metrics Development
Dashboard Creation
AI Tools
Statistical Analysis
Problem Solving
Communication
Collaboration
Research

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
Internship
Stripe
Financial Infrastructure
SQL
Data Science
Data Pipelines
A/B Testing
Business Analytics
Metrics
Dashboards
AI Tools
Quantitative Analysis
Statistics
Economics
Mathematics
Data Modeling
Product Analytics
Data Storytelling
Stakeholder Management

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