What you’ll do

 As part of the growing and highly capable Logistics Decision Support & Analytics team, you will be tasked with absorbing millions of rows of data from a variety of sources, organizing them, visualizing them, and analyzing them to help inform both short- and long-term decision-making, tackle problems and derive insights. The team isn’t just making monthly reports or rerunning existing statistical models, it’s doing creative work in an empowering environment with each decision backed by data to support different areas of the customer journey. We need innovators and big thinkers passionate about data and re-imagining the future of retail.

The successful candidate will be passionate about seeing real world impact of analytics and have a solid understanding of scientific and business needs, as well as the areas of data science that can be transformative and impactful to the retail and eCommerce industry.  If this sounds like you, apply today to experience what it’s like to be a part of Decision Support & Analytics at Canadian Tire.

In this role, you’ll:

• Contribute to and help develop the analytical infrastructure and computational capabilities that drive decision making and impact the bottom line performance of the Supply Chain at Canadian Tire. By partnering with business leaders and leveraging company and industry data, this position’s primary focus is to manipulate large datasets to extract meaningful business information using statistics and machine learning techniques.

• Develop mathematically based Decision Models to support improved strategic, operational, and tactical decision making.  You will develop innovative solutions using specialized Operational Research techniques and through interactive problem solving with Business Users.  Most Models are mixed integer linear programs based on a modeling language called OPL/CPLEX and are designed to be integrated with custom-built external (SQL) data sources for use in both production and decision support environments.  You would also be providing on-going support and enhancements to existing Models.

Major work elements include:

• Optimization Modeling – involves leading discussions with Business Users to determine/clarify Business Rules; evaluating data sources; building and testing Models; promoting Models to production; ensuring Models are properly documented
• Identifying Additional Opportunities – determine where optimization can be used to improve business processes and decision making (e.g.  DC operations, Transportation effectiveness, Merchandising Planning processes); and documenting potential benefits
• Other Mathematically Based Modeling – includes simulation and predictive modeling on an as required basis

Model-building Activities:

• Develop/Enhance Model
• Create/Use project plans to ensure timely and successful completion
• Identify/Validate Business Rules that drive Model design by working with Business Users to analyze and recommend approaches to handling the various trade-offs that are required in decision making
• Analyze available data to establish inputs that support Models requirements using statistical analysis where necessary
• Design database structure that feeds the Model
• Build/Test decision Models by working interactively with Business Users to review business issues as they arise and determine approached to resolve them, ensuring model efficiency and establishing reasonable solution times and quality
• Prepare/validate Model reports
• Execute a model testing plan
• Recommend/Run Model scenarios for evaluation
• Review Model results with Business Users
• Assist with integration testing for production applications
• Prepare presentation material that communicates Model results
• Create Model documentation to required standards

What you bring

• Post-secondary education preferably in Operations Research, Applied Math, Industrial Engineering, or Computer Science
• Minimum of Master’s in Applied Sciences or Operations Research
• Proficiency in operations research techniques (i.e. Mixed Integer Linear Programming based techniques)
• Must have experience with CPLEX
• Familiarity with SQL, Oracle. C#, .net, Python
• Exposure to server-based technology
• Ability to cultivate relationships with key stakeholders of varied levels
• Excellent time management skills and ability to effectively manage conflicting priorities
• Solid verbal and written communication skills with proven ability to effectively communicate proactively
• Strong analytical and technical abilities, with an understanding of statistics
• 2+ years of supply chain experience

We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.