Analyst, Decision Analytics

What you bring This Analyst, Decision Analytics role is an exciting interdisciplinary role where you will be responsible for store labour planning, as well as providing analytical support for strategic initiatives and operational efficiencies. The incumbent will present relevant analysis and prepare reports that support various levels of the organization from store managers to senior executives. The ideal candidate should be comfortable working with large sets of data and possess familiarity with forecasting, budgeting, and planning activities within a typical FP&A role. This position will frequently collaborate with the Store Operations leadership teams in SportChek and Mark’s. It provides opportunities to gain insights into advanced analytics, machine learning, and automation as applied to finance and store operations processes. * Play a key role in managing the Store Payroll spend at SportChek and Mark’s * Identify areas or opportunities within the business for operational efficiencies and/or revenue growth, analyzing and implementing changes that will influence store operations strategy and drive improved profitability. * Lead compensation plan model design target setting to drive performance of strategic metrics and meet financial targets. * Lead and participate in planning meetings to support ongoing business initiatives. * Collaborate with many teams to unlock new analytics that drive common objectives. * Be an Automation Champion – develop self-serve analytics to drive value generating activities in our 550+ stores across Mark’s and SportChek * Oversee analytical processes leveraging store financial data including income statement data. What you bring * Minimum of 2 years of experience in a business, analytics, or finance role * Professional accounting designation (CPA, CA, CGA, CMA) and/or master’s degree in MMA, MBA, or analytics is considered an asset. * Ability to clearly and confidently, communicate to both technical and non-technical audiences. * Ability to manage multiple projects, driving key business results under tight deadlines. * Strong problem solving, analytical, and strategic thinking skills; able to see the “big picture” in a complex business environment. * Working Knowledge or interest in BI tools such as PowerBI, and/or Tableau is an asset. * Knowledge of database management, information management, and data mart design along with hands-on experience using data analysis / workflow tools such as Knime or Alteryx is an asset. * Working knowledge of Python, SQL or other coding languages and experience with Azure Synapse and/or Databricks. * Prior experience in machine learning or predictive analytics would be an asset. This posting represents an existing vacancy within our organization. We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters. About Us Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here. Our Commitment to Diversity, Inclusion and Belonging We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. Accommodations We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

The Data Scientist will manage store labour planning and provide analytical support for strategic initiatives and operational efficiencies. They will lead compensation plan model design and develop self-serve analytics to drive value across retail locations.

Candidates must have at least 2 years of experience in a business, analytics, or finance role. A professional accounting designation or a master's degree in a relevant field is considered an asset.

• Store discounts • Triangle Learning Academy • Canadian Tire Profit Sharing • Retirement and savings programs • Mental health benefits

• SQLSouhaitée
• TableauSouhaitée
• BudgetingSouhaitée
• Apprentissage automatiqueSouhaitée
• Analyse financièreSouhaitée
• PythonSouhaitée
• ForecastingSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data science
• Labour planning
• Financial analysis
• Forecasting
• Budgeting
• Machine learning
• Automation
• PowerBI
• Tableau
• Database management
• Knime
• Alteryx
• Python
• SQL
• Azure Synapse
• Databricks
• Report Writing
• Database Management
• Retail Operations
• Influencing Skills
• Influencing Without Authority
• Workflow Management
• Azure Synapse Analytics
• Advanced Analytics
• Business Results
• Planning
• Accounting
• Artificial Intelligence
• Data Analysis
• Mental Health
• Business Intelligence
• Business Analytics
• Certified Public Accountant
• Data Mart
• Disabilities
• Finance
• Financial Services
• Financial Data
• Leadership
• Income Statement
• Information Management
• Problem Solving
• Python (Programming Language)
• Machine Learning
• Merchandising
• Predictive Analytics
• Power BI
• SQL (Programming Language)
• Strategic Thinking
• Tableau (Business Intelligence Software)

• Data & Analytics
• Finance & Accounting
• Retail
• Technology
• Management & Leadership
• Data Scientist
• Systems Analysts
• Data Scientists

Formation minimale

Diplôme professionnel

Expérience minimale

2+ ans

Postuler avant le

8 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine