Join Canadian Tire as a Data Scientist, focusing on store labor planning and driving operational efficiencies. Leverage your analytical skills to support financial strategies and contribute to advanced analytics across the organization.

As a Data Scientist, you will engage with large data sets and collaborate with Store Operations teams in SportChek and Mark's. Your role will influence business decisions through strategic analysis, forecasting, and performance management. The ideal candidate should be skilled in machine learning, automation, and have a deep knowledge of financial data processing.

Key Responsibilities:
• Present relevant analysis to support store and executive decisions
• Collaborate with teams to develop self-serve analytics




• Analyze data to identify operational efficiencies
• Lead compensation plan design and target setting
• Drive performance metrics for improved profitability

Requirements:
• Minimum 2 years in business, analytics, or finance
• CPA designation or master’s degree in relevant fields
• Robust communication skills for diverse audiences
• Proficiency in Python, SQL, and BI tools
• Experience in predictive analytics or machine learning

Utilize your data analysis and forecasting skills to enhance Canadian Tire's strategic direction.
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📌 Data Scientist Role at Canadian Tire (Alberta)
🏢 Canadian Tire Financial Services
📍 Alberta