Canadian Tire Corporation

corp.canadiantire.ca

4 Jobs

28,613 Employees

About the Company

Canadian Tire Corporation, Limited ("CTC") is one of Canada's most admired and trusted companies. With world-class owned brands and exciting market-leading merchandising strategies, we are continually innovating with purpose: to be there for Canadians from coast-to-coast. We are a group of companies that includes a retail segment, a financial services division and CT REIT. Our retail business is led by Canadian Tire, which was founded in 1922 and provides Canadians with products for life in Canada across its Living, Playing, Fixing, Automotive and Seasonal & Gardening categories. Party City, PartSource and Gas+ are key parts of the Canadian Tire network. Our retail segment also includes Mark's, a leading source for casual and industrial wear, Pro Hockey Life, a hockey speciality store catering to elite athletes, and SportChek, Hockey Experts, Sports Experts, and Atmosphere, which offer the best active wear brands. Our 1,700 retail and gasoline outlets are supported and strengthened by our Financial Services division and the tens of thousands of people employed across the country by our Company, local Dealers, franchisees and petroleum retailers. In addition, CTC owns and operates Helly Hansen, a leading technical outdoor brand based in Oslo, Norway. CTC is an integral part of the communities in which we operate and our legacy of community support, through national and local programs, is initiated and executed by our Corporation, Dealers, franchisees, store operators and employees. Since 2005, our Canadian Tire Jumpstart Charities has been helping kids overcome financial and accessibility barriers to sport and recreation in an effort to provide inclusive play for all kids of all abilities. For more information, visit corp.canadiantire.ca.

Listed Jobs

Company Name: Canadian Tire Corporation
Job Title: Senior Data Scientist
Job Description: Job title: Senior Data Scientist Role Summary: Leverage statistical and machine learning expertise to design, execute, and assess data‑driven marketing campaigns. Integrate diverse customer data sources, build and maintain scalable data pipelines, and deliver actionable insights that influence creative strategy and optimize campaign lift. Expectations: - Partner with cross‑functional teams to ingest new data sources and provide targeted analytics. - Own end‑to‑end data lifecycle: extraction, transformation, loading, and model deployment. - Measure campaign effectiveness using rigorous statistical methods and report significance (p‑values, confidence intervals). - Mentor peers on coding, data science best practices, and analytical rigor. - Prioritize automation to improve efficiency and cost‑effectiveness. Key Responsibilities: - Develop hypotheses and recommend testing strategies for customer segments. - Build and maintain powerful, cost‑effective data pipelines (batch & streaming) for high‑availability usage. - Execute advanced analytics: hypothesis testing, predictive modeling, recommendation systems, deep learning. - Create and maintain dashboards & reports in Looker, Tableau, or Google Data Studio. - Collaborate with stakeholders to translate business problems into data‑driven solutions. - Conduct ad‑hoc analyses and provide actionable recommendations. - Ensure data quality, governance, and compliance across integration projects. - Lead MLOps initiatives: model versioning, deployment, monitoring, and lifecycle management. Required Skills: - Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL. - Experience with Hadoop, Hive, Spark, and Big Data ecosystems. - Expertise in relational/non‑relational database design, ETL tools, and modern query languages. - Cloud platform knowledge (AWS, Azure, GCP) and data warehousing (Snowflake, Cloudera). - Statistical modeling, hypothesis testing, and A/B testing experience. - Strong communication and stakeholder‑management capabilities. - Agile project experience, self‑management, and mentoring ability. - MLOps knowledge (model deployment, CI/CD, monitoring) preferred. Required Education & Certifications: - M.S. in Statistics, Engineering, Computer Science, or related field. - 3+ years of professional data science experience.

Company Name: Canadian Tire Corporation
Job Title: Category Business Analyst ( Evergreen)
Job Description: **Job Title:** Category Business Analyst (Evergreen) **Role Summary** Provides analytical support to the buying team, managing vendor processes, evaluating new and existing product lines, and delivering insights that strengthen category assortment and financial performance. **Expectations** - Deliver data‑driven recommendations to achieve category level objectives and financial goals. - Maintain up‑to‑date knowledge of market trends, consumer behaviors, and competitive dynamics. - Serve as the primary liaison between vendors, Category Business Managers, and cross‑functional stakeholders. **Key Responsibilities** 1. Analyze product assortment, sales performance, and margin metrics to identify growth opportunities and improvement areas. 2. Manage vendor processes, including onboarding, performance tracking, and contract negotiations. 3. Produce clear, actionable reports and presentations for senior stakeholders. 4. Collaborate with Category Business Managers to design compelling assortments aligned with brand strategy. 5. Negotiate and influence cross‑functional teams to secure optimal terms and resources. 6. Maintain accurate data in analytics systems and ensure data integrity. **Required Skills** - Strong analytical and quantitative skills. - Proficiency in data visualization and reporting tools (e.g., Power BI, Tableau, Excel). - Experience in retail analytics or related analytical role. - Excellent written and verbal communication; presentation skills with ability to adapt style to audience. - Collaboration, negotiation, and influencing capabilities. - Detail‑oriented, organized, and able to manage multiple priorities. **Required Education & Certifications** - Undergraduate degree in Business, Commerce, Retail Management, Data & Analytics, or related field (post‑graduate acceptable). - No mandatory certifications, but experience with retail analytics platforms is an asset.

Toronto, Canada

On site

11-12-2025

Company Name: Canadian Tire Corporation
Job Title: Forecasting Analyst (Evergreen)
Job Description: Job title: Forecasting Analyst (Evergreen) Role Summary: Lead end‑to‑end product‑level demand forecasting for a key business category, leveraging historical sales, market, and competitive data. Use JDA software and advanced Excel analytics to generate accurate regular, promotional, and seasonal forecasts that align with sales, inventory, and financial objectives. Expectations: Deliver continuous improvement in forecast accuracy, reduce error/bias rates, and maintain high store service levels. Ensure forecasts drive on‑time inventory availability and support business profitability across short‑ and long‑term horizons. Key Responsibilities: - Build and maintain product‑level forecasts for regular, promo, and seasonal activities. - Monitor demand variances, analyze root causes, and recommend corrective actions to achieve target performance. - Manage short‑ and long‑term aggregate forecasts in sync with financial targets. - Produce actionable insights and reports for Category Business Managers, Merchandising, Promotion Planning, Replenishment, and Forecasting Management. - Collaborate cross‑functionally to refine forecasting models and business assumptions. Required Skills: - Intermediate to advanced Excel proficiency with strong analytical skills. - Experience with demand planning tools (e.g., JDA) and data‑to‑insight transformation. - Excellent written and verbal communication; ability to influence and maintain stakeholder relationships. - Strong problem‑solving ability, attention to detail, and data‑driven decision making. - Ability to work independently and as part of a cross‑functional team. Required Education & Certifications: - Bachelor’s degree in Business, Economics, Commerce, Mathematics, Engineering, or related field. - Experience or training in forecasting, merchandising, marketing, or retail is an asset. - Certifications in demand planning or supply chain management (e.g., APICS CPSM, Certified Forecasting Professional) are a plus.

Toronto, Canada

On site

11-12-2025

Company Name: Canadian Tire Corporation
Job Title: Data Engineer
Job Description: **Job Title:** Data Engineer **Role Summary:** Design, develop, and maintain scalable data pipelines and processes to support analytical and operational needs across the organization. Collaborate with cross‑functional teams to translate business requirements into technical solutions, ensure data quality, and enable data‑driven decision‑making. **Expectations:** - Deliver reliable, automated data workflows using PySpark, Airflow, and cloud platforms. - Produce clean, well‑documented code and adhere to CI/CD and review standards. - Communicate effectively with stakeholders and resolve technical issues promptly. - Contribute to continuous improvement of data products and processes. **Key Responsibilities:** - Design, implement, test, and monitor data pipelines (ETL/ELT) for POS, loyalty, product, and customer data. - Optimize complex SQL queries, joins, subqueries, and delta tables. - Translate business requirements into technical specifications and data models. - Support stakeholders with data insights, reporting tools, and troubleshooting. - Maintain data quality, accuracy, and security; document processes and share knowledge. - Participate in ad‑hoc projects and collaborate with senior engineers on best practices. **Required Skills:** - Proficiency in PySpark and SQL (query optimization, subqueries). - Experience with pipeline orchestration (Airflow) and version control (Git). - Familiarity with Hadoop/Hive, MySQL, Databricks, and cloud SDKs (Azure, GCP, or Databricks). - Understanding of ETL concepts, delta tables, change‑data‑capture, and basic Bash scripting. - Knowledge of OOP principles and network security basics. - Strong collaboration, communication, and teamwork abilities. - Retail data experience (POS, loyalty) is a plus. **Required Education & Certifications:** - Bachelor’s degree or higher in Computer Science, Mathematics, Engineering, or a related field. - Minimum 1 +  years of internship or professional experience in data engineering or analytics.