The Data Scientist Intern is responsible for assisting the Canadian Franchise team with building and automating custom reports to help drive the business through data-driven insights and decision making.
The intern will primarily support Planning and Performance work through the customization and automation of reports using Excel and Power BI.

What You’ll Do For Us:

• Support all aspects of Canadian Franchise team operations as needed
• Build, automate, and maintain critical business reporting and visualizations that helps deliver insights for our internal partners in sales and operations
• Scripts to automate data extraction, cleaning and transformation
• Scripts to automate reporting processes and identification of relevant insights
• Back-end services that interact with multiple data sources to compile and serve clean, high-quality data for downstream processes

EDUCATIONAL REQUIREMENTS:

• Currently pursuing a bachelor’s degree in computer science, Engineering, or another quantitative discipline with a strong programming background, with a final graduation date no earlier than December 2025

SKILLS:

• Familiarity with SQL and data visualization tools (e.g. Tableau, Power BI, Looker)
• Proficient at analyzing and automating datasets in a spreadsheet program (e.g. Excel, Google Sheets) or in a programmatic analysis tool (e.g. Python, R)
• Excellent analytical, quantitative and program-solving skills
• Strong attention to detail
• Good collaborative skills and a positive attitude
• Effective time management and organizational skills
• Familiarity with sales and marketing processes is a plus
• Good communication skills, a proactive approach, and a “can do” attitude
  Monthly salary: $6,461.14 CAD
  Location: Toronto, Canada

SKILLS

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• Support all aspects of Canadian Franchise team operations as needed
• Build, automate, and maintain critical business reporting and visualizations that helps deliver insights for our internal partners in sales and operations
• Scripts to automate data extraction, cleaning and transformation
• Scripts to automate reporting processes and identification of relevant insights
• Back-end services that interact with multiple data sources to compile and serve clean, high-quality data for downstream processe