Become a Data Scientist at Canadian Tire, focusing on analytics for retail operations and financial performance. Your role will empower store managers with vital insights to promote operational success and efficiency.

This interdisciplinary position requires robust analytical skills to plan labor effectively and enhance overall store profitability. You will partner with Store Operations teams in both SportChek and Mark's, utilizing your experience in forecasting, budgeting, and data-driven strategies. Familiarity with machine learning and data automation technologies will set you apart in this role.

Key Responsibilities:
• Design compensation models to enhance performance metrics
• Present findings that support management decision-making




• Identify and implement efficiency improvements across stores
• Drive analytics initiatives to support business strategies
• Collaborate with multiple teams for cohesive objectives

Requirements:
• Minimum 2 years experience in business or analytics
• Qualified accounting designation or relevant master's degree
• Ability to present effectively to both technical and non-technical teams
• Proficiency in coding languages and BI tools
• Prior experience in machine learning or predictive analytics

Harness your analytics expertise to shape the future of retail with Canadian Tire.
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📌 Data Science Expert In Retail Operations Alberta (Canada)
🏢 Canadian Tire Financial Services
📍 Canada