Original job description
Vous aimez aider les autres à réussir et laisser votre marque? Vous éprouvez de la fierté à guider les clients vers les bonnes solutions pour leurs projets? Si, en plus de cela, vous êtes de nature curieuse et souhaitez acquérir de nouvelles connaissances, envisagez de commencer ou de faire progresser votre carrière chez Home Depot.
Job Description
The Engineering Analyst uses continuous improvement and analytical methods to understand, model, and improve supply chain processes and productivity. This position focuses on applying industrial engineering principles to optimize warehouse operations, logistics network, and overall productivity. This position requires a self-starter, detail oriented individual able to support multiple projects and/or business functions, possesses excellent communication, analytical skills, works well with a team, interacts with multiple levels and functions with supply chain, able to manage and build strong relationships
Position Responsibilities
Measure and analyze current operational productivity metrics to identify bottlenecks or inefficiencies in the supply chain
Perform time and motion studies using time study tools. Collect and analyze data through platforms like SAP, GCP, EWM and direct observations
Plan and optimize DC Slotting for seasonal programs. Report compliance on the same
Using Lean/Six Sigma principles to identify cost out opportunities within the supply chain
Using Home Depot approved AI Softwares to automate tasks and processes
Develop and maintain engineered labour standards for the distribution team
Use analytical methods to model/quantify current and future state performance and costs
Facilitate discussions with key business stakeholders (i.e. Operations, IT) to generate solution ideas and provide status updates and reporting
Identify and communicate process opportunities through the creation of process/value stream maps for both upstream and downstream DC sites
Prepare and present project details/updates and ROI analyses as required
Demonstrates originality and imagination in thinking while developing a solution to a problem
Resolve complex business issues by breaking them down into meaningful components to determine root cause and redesigning internal and external business processes
Experience & Knowledge Required
Must fill minimum time-in-position and performance management code requirement
Bachelors degree in Industrial Engineering or a related field of study
1 to 2 years of experience in the engineering domain or related supply chain experience
Experience with Six Sigma or other Process Improvement Methodology is preferred
Certification and experience in data analytics, Time and Motion Study methods (MOST) is preferred
Proficient in: Microsoft Office Suite including Excel, Visio, PowerPoint, Project, Visual Basic, SQL, Word
Exposure to Manhattan WMS/SAP EWM, SAP ERP, 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
Writes, speaks, and presents clearly and succinctly across a variety of communication settings and adjusts communication style to the audience by translating and articulating technical concepts to non-technical groups
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 required 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
Minimum Years Of Work Experience
1-2 years of experience in engineering, supply chain, data analytics, or related field
Minimum Leadership Experience
N/A
Certifications
Supply Chain/Data Analytics, Google Cloud Platform (GCP) an asset
The pay range for this position is between $55,100.00 - $62,000.00
More about this job
Responsibilities
Analyze supply chain productivity and warehouse operations using operational data, observations, time and motion studies, and industrial engineering methods. Identify and implement process improvements, optimize distribution center operations, develop labor standards, and communicate project findings and return on investment to stakeholders.
Requirements
A bachelor's degree in Industrial Engineering, Supply Chain Management, Data Analytics, or a related field is required, along with 1–2 years of relevant engineering, supply chain, or analytics experience. Preferred qualifications include process improvement or Six Sigma experience, data analytics and time-study expertise, and familiarity with tools such as Excel, SQL, SAP, and warehouse management systems.
Skills
- Supply Chain Analysis
- Continuous Improvement
- Industrial Engineering
- Productivity Analysis
- Time and Motion Studies
- Data Analysis
- Warehouse Operations Optimization
- Distribution Center Slotting
- Lean and Six Sigma
- Labor Standards Development
- Process Mapping
- Root Cause Analysis
- Project Reporting
- Return on Investment Analysis
- SQL
- Visual Basic
Visa sponsorship
Not detected in the job text
Categories
- Engineering
- Logistics
- Data & Analytics
- Retail
Keywords
- Industrial Engineering
- Supply Chain
- Continuous Improvement
- Lean
- Six Sigma
- Time and Motion Studies
- MOST
- Data Analytics
- Productivity Reporting
- Warehouse Operations
- Distribution Center Slotting
- Logistics Network
- Labor Standards
- Process Mapping
- Value Stream Mapping
- Root Cause Analysis
- Return on Investment Analysis
- Microsoft Excel
- Microsoft Visio
- Microsoft PowerPoint
- Microsoft Project
- Visual Basic
- SQL
- SAP
- SAP EWM
- SAP ERP
- Manhattan WMS
- Google Cloud Platform
- Agentic AI
- Process Improvement
