Are you someone who thrives on helping others succeed, enjoys making an impact, and takes pride in guiding customers to the right solutions for their projects? If you’re also naturally curious and eager to keep learning, consider starting or growing your career with us at The Home Depot.

The Sr. Supply Chain Analyst – Engineering is a high-impact role that integrates engineering methodologies with data analytics for future state supply chain development. This position delivers critical analytical support with regards to network build and deployment within Home Depot Canada. The individual collaborates with key stakeholders in distribution, transportation, replenishment, planning, finance and IT, to drive the design and deployment of distribution centres for Home Depot Canada. This position requires experience in Network and Capacity Modeling for distribution centres, using process engineering and CI principles to reduce costs and enhance efficiency of logistics networks

Position Responsibilities:

· Data extraction and analysis related to the design of new warehouses, remodeling existing facility layouts and distribution networks

· Identify bottlenecks in supply chain processes using time-and-motion studies, reduce costs, and enhance the efficiency of distribution centers and logistics networks

· Use advanced analytical methods, process engineering, and continuous improvement (Lean/Six Sigma) to model and improve supply chain productivity

· Develop and maintain engineered labour standards, DC slotting guidelines

· Solicit feedback from internal stakeholder groups to identify and gather key information and decision-making criteria

· Mentoring and leading junior associates on the team, assigning deliverables, reviewing progress and providing feedback

· Develop and analyze omni-channel distribution network models that include both upstream and downstream facilities for process improvement and maximizing capacity utilization

· Train new team members on day-to-day engineering tasks, reporting. Build strong cross-functional relationships. Support design of new warehouses, warehouse channels through productivity analytics

· Support multiple strategic and tactical projects, ensuring project deliverables are met. Prepare and present project details to cross-functional leaders as required

Experience/Knowledge Required:

· 3-5 years of experience in engineering, supply chain, data analytics, or related field

· Bachelor’s degree in Industrial Engineering, Supply Chain Management, Data Analytics, or a related field. (Master’s degree or MBA is a plus)

· Demonstrated ability to mentor junior associates on the team on day-to-day tasks and key engineering initiatives

· Experience utilizing Network Modeling, time and motion studies Softwares, engineering supporting for omni-channel distribution network

· Exposure to Manhattan WMS/SAP EWM, SAP S4, Productivity reporting an asset

· Experience with utilizing Agentic AI to automate repetitive tasks and reporting workflows is an asset

· Experience with logistics design analysis, distribution network or facility design and exposure to continuous process improvement initiatives

· Ability to create and manipulate CAD drawings in AutoCAD, use of Google Cloud Platform (GCP), SQL and Tableau for data analytics

· Extensive experience with Microsoft Office Suite, specifically Excel and Visio

· Must be available to work flexible hours and willing to travel

· Ability to work within a multi-disciplinary team and with tactically oriented, operational business owners

· Excellent interpersonal, communication skills paired with efficient time management

Direct Manager/Direct Reports:

· Reports to Manager, Supply Chain Continuous Improvement and Optimization

Travel Requirements:

· Occasional travel required, more frequently within the GTA

· Flexibility in work hours needed as per business needs

Physical Requirements:

· Most of the time spent sitting in the office. Walking the DC Floor for observations required. Extensive time on the floor required during time and motion studies, process walks

Working Conditions:

· Working in an office setting: computer work, camera on virtual meetings, in-person meetings, taking support calls

Minimum Education:

· Bachelor’s degree in Industrial Engineering, Supply Chain Management, Data Analytics, or a related field. (Master’s degree or MBA is a plus)

Minimum Years of Work Experience:

· 3-5 years of experience in engineering, supply chain, data analytics, or related field

Minimum Leadership Experience:

· Previous experience mentoring junior associates an asset

Certifications:

· Supply Chain/Data Analytics, Google Cloud Platform (GCP) an asset