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Résumé du poste

Lead the design and development of advanced statistical and quantitative models to drive retail, customer, and loyalty business decisions. Partner with business leaders to translate complex quantitative insights into actionable recommendations and coach a team of analysts and data scientists.

Détails du poste

Reporting to the AVP, Advanced Analytics and Modelling, the Manager, Statistical Modelling & Advanced Analytics will lead high-impact statistical modelling work that helps shape decisions across retail, customer, and loyalty. This role is ideal for someone who enjoys solving complex business problems with rigorous quantitative methods and translating that work into real business action. You will have the chance to directly impact customer growth and retention, promotional effectiveness, and strategic retail decision-making. You’ll have the chance to work with large, complex datasets and influence decisions that matter across the enterprise. What you’ll do Lead the design and development of advanced statistical and quantitative models using retail, customer, and loyalty data Apply methods such as forecasting, causal inference, experimentation, predictive modelling, segmentation, optimization, and statistical learning to solve important business problems Partner closely with business leaders to identify where modelling can most improve decision-making, customer outcomes, and financial performance Build models and analytical frameworks that are practical, scalable, and decision-oriented Establish strong standards for model design, validation, monitoring, and measurement Translate complex quantitative work into clear recommendations for senior leaders Help shape the future of modelling and experimentation within the broader analytics organization Coach and develop a team of analysts and data scientists, while remaining close to the work and setting a high bar for technical quality What you bring Graduate degree in Statistics, Mathematics, Econometrics, Economics, Data Science, Computer Science, or another quantitative field PhD is welcome, but not required Significant experience in statistical modelling, advanced analytics, or quantitative decision support Strong command of methods such as: Regression and classification Forecasting / time series Experimental design and measurement Causal inference Statistical learning Model validation and performance assessment Strong coding experience in Python Experience working with large datasets using SQL, Spark, or similar tools Experience in modern data environments such as Databricks, cloud platforms, or distributed computing frameworks Strong communication skills, with the ability to explain technical work clearly to non-technical audiences Experience leading projects, influencing senior stakeholders, and helping others raise the quality of their work In addition to the above qualifications, preference will be given to candidates who have: Experience in retail, loyalty, consumer, pricing, marketing, or customer analytics Experience with experimentation platforms, uplift modelling, optimization, or decision science Experience building modelling workflows that move beyond analysis into operational use We’re always looking for great talent! In addition to competitive pay, we offer: Comprehensive benefits and retirement programs Performance incentives, Continuing Education Programs Other perks to support your well-being Career growth opportunities and product discounts Our typical hiring range is between $80,000.00 and $140,000.00 per annum. Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements. We're committed to attracting top talent. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role. #LI-AG2 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.

Ce que vous ferez

Lead the design and development of advanced statistical and quantitative models to drive retail, customer, and loyalty business decisions. Partner with business leaders to translate complex quantitative insights into actionable recommendations and coach a team of analysts and data scientists.

Exigences

Requires a graduate degree in a quantitative field such as Statistics, Mathematics, or Data Science. Candidates must have significant experience in statistical modelling, strong Python coding skills, and proficiency with SQL or Spark.

Avantages

• Comprehensive benefits • Retirement programs • Performance incentives • Continuing education programs • Store discounts • Mental health benefits • Profit sharing

Compétences indiquées

• SQL · Souhaitée
• Python · Souhaitée
• Forecasting · Souhaitée

Autres compétences pertinentes

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

• Statistical modelling
• Advanced analytics
• Python
• SQL
• Spark
• Forecasting
• Causal inference
• Experimental design
• Predictive modelling
• Segmentation
• Optimization
• Statistical learning
• Model validation
• Data science
• Project leadership
• SQL (Programming Language)
• Communication
• Workflow Management
• Business Problems
• Influencing Skills
• Influencing Without Authority
• Decision Making
• Data Science
• Model Validation
• Financial Services
• Artificial Intelligence
• Marketing
• Economics
• Python (Programming Language)
• Scalability
• Computer Science
• Mathematics
• Advanced Analytics
• Statistics
• Mental Health
• Merchandising
• Predictive Modeling
• Decision Support Systems
• Disabilities
• Talent Acquisition
• Databricks
• Statistical Modeling
• Promotional Effectiveness
• Distributed Computing
• Quantitative Research
• Econometrics
• Causal Inference
• Time Series
• Design of Experiments (DOE)
• Customer Analytics

Domaines d’emploi

• Data & Analytics
• Management & Leadership
• Retail
• Technology
• Science & Research
• Analytics Manager
• Data Science Manager
• Research and Development Managers
• Data Scientists