Data Analytics Intern, Risk & Fraud

Super.com

1d•Remote

About The Position

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.

Requirements

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

Responsibilities

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.