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Data Analyst Intern

Ontario, Canada (Remote)

Data Analyst Intern

11 Hours ago • Upto 1 Years • Data Analyst

About the job

4 skills required for this role

Add these skills to join the top 1% applicants for this job

looker

python

sql

business-strategy

Job Description

As a Data Analyst Intern at Super.com (May-August 2025), you'll use data to answer strategic questions and support business growth. You'll work with large datasets from various performance marketing channels, performing deep-dive analysis, creating regression or segmentation models, building dashboards, and generating reports. Your work will drive business growth and provide strategic insights from product, user, and operational data. You will be an ambassador for a data-driven culture, taking ownership of your work and navigating changing priorities. This role offers the chance to learn from mentors while independently contributing valuable insights.

Must have:

Data manipulation & analysis
SQL, Python/R skills
Analytics tools (Looker, Amplitude, DBT, Snowflake)
Statistical methods understanding
Independent work & mentorship receptiveness
Problem-solving & impactful results delivery

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 Analyst Intern to join our growing data team for the Spring/Summer 2025 term (May-August). As a Data Analyst 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

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/or R, 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 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.

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