Data Analyst, Intern

United States Digital Space LLC; Toronto; On-site; CAD 17,000 - 23,000; Full time

Job summary

United States Digital Space LLC in Toronto is seeking a Data Analytics Intern to work across our stack on projects that impact millions of businesses. You will own problems end-to-end with mentor guidance, partnering with cross-functional teams to build models, data pipelines, dashboards, and insights that inform decision making.

The internship is competitive with high expectations. You should be enrolled in a quantitative Bachelor's or Master's program with an expected graduation in December

Qualifications

• 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.
• Ensure that our users, our products, and our business have the models, data products, and insights needed to inform decisions and grow responsibly.
• Create metrics, reports, and dashboards to inform and run the business.
• Extend the company’s metrics semantic layer.
• Build new data assets and improve existing assets to support decision-making, products, and processes.
• Assess the impact of decisions, product launches, and improvements using business analytics and A/B testing.
• Learn quickly by asking great questions and communicating status clearly.
• Present your work to the Data Science team and partner teams.

Skills

SQL

AI tools

Stakeholder comms

Education

Bachelor’s or Master’s degree (quantitative)

Job description

Who we are

About the company

the company 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 the company, 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 the company as core infrastructure to grow faster. They process trillions of dollars a year on the company, 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 the company. 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 the company don’t tend to take themselves seriously, the company 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 the company is one of the very best places to learn about how the world works.

About the team

Data Science at the company 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 the company, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across the company and will seek to align you to the most relevant team based on your background.

What you’ll do

As an intern at the company 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 the company 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 the company. 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 the company’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 the company 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