Data Analyst Intern, Risk & Fraud (8 months)

About Super.com

We started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.

We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.

About the role

We are looking for a Data Analytics Intern, Risk & Fraud to join our growing data team for the Winter 2026 term. As an Analytics Intern at Super, you will be responsible for using data to answer strategic questions and support our business strategy and rapid growth. With a strong analytical and data-driven approach you’ll help our team organize, visualize and understand large data sets relating to various performance marketing channels. This is an exciting opportunity that will allow you to run deep-dive analysis, create regression or segmentation models, build dashboards and generate reporting to drive business growth and draw strategic insights from product, user, and operational data.

Challenges you'll solve

• Data-driven Culture: you will be an ambassador for our data-driven culture, taking data and using it to answer business questions and drive strategy & decision making
• Data Management: you will access, clean and organize raw data in a way that makes sense for you, your team and your stakeholders
• Visualizations: you will help us to see and understand our data in a way that makes sense, creating automated dashboards and funnels for various internal teams
• Hard Questions: You’ll be taking our data and using it to answer business questions, drive strategy and decision making. This will include running experiments and impact analysis to understand the effects of changes, drawing conclusions from data, and tying insights back to key business metrics or KPIs. You’ll also explore user behaviour patterns to make informed recommendations that improve product performance and reduce risk

About you

• You can pull, clean and manipulate large sets of complex data to turn them into stories that business stakeholders can understand
• You can write SQL queries and perform data analysis with Python, and know your way around analytics tools (Looker, amplitude DBT and snowflake)
• You are naturally curious and have a solid understanding of common statistical methods and how they relate to real world applications
• You are able to work independently while also embracing mentorship and guidance, confidently addressing stakeholder requests and contributing valuable insights.
• You take ownership of your work, leveraging the support provided to solve problems and deliver impactful results.
• You are comfortable navigating ambiguous or changing priorities and can adjust your approach to meet new challenges.
• You understand how data insights connect to broader business goals and are eager to learn how to make strategic contributions

We've got you covered

• Compensation: we pay our Interns top-of-market
• $300 One-time home office set up allowance
• $25/Week UberEats allowance on Fridays
• $300/Term Learning and Development allowance
• $120/ Term Fitness/Wellness allowance
• Top Talent: work with the best in the world, including Engineers and Leadership from Google, Facebook, Wish, YouTube, Uber, and more
• Build Something Great: most importantly, build a product used by millions around the world - have ownership, have impact, and do great work

Compensation for this internship will be determined based on the number of prior work terms or internships you have successfully completed, in alignment with our intern pay structure.

We Believe in Equal Opportunity

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify our Talent Acquisition Partner.