Work Analysis Engineer
Overview
In this role, you will drive productivity across DHL’s warehouse operations by developing engineered labor standards and conducting time-and-motion analyses. You will build workforce planning models and partner with cross-functional teams to deliver continuous improvement initiatives. You’ll support automation projects and operational redesigns with quantitative labor analysis and create dashboards to improve visibility and decision-making. This role blends data-driven analysis with Lean and Kaizen practices to boost efficiency in logistics operations in Italy.
Responsabilità
- Develop and implement Engineered Labor Standards across warehouse operations
- Conduct Time & Motion Studies and analyses to identify productivity improvements
- Build workforce planning and labor productivity models
- Collaborate with Operations, Engineering, Resource Planning, and Business Development on improvement initiatives
- Support automation projects and operational redesigns through labor analysis and productivity modeling
- Develop dashboards, KPIs, and reporting tools for visibility and decision-making
- Analyze performance against standards and implement corrective actions
- Validate labor assumptions for start-ups, redesigns, automation projects, and new opportunities
- Support Lean, Kaizen, and process optimization through quantitative analysis
Requisiti fondamentali
- Degree in Industrial Engineering, Mechanical Engineering, Operations Management, Logistics Engineering, or related field
- Experience in Industrial Engineering, Time & Methods, Productivity Engineering, Manufacturing Excellence, or Continuous Improvement roles
- Strong expertise in MTM, MOST, Time & Motion Studies, Engineered Labor Standards, Workforce Planning, and Productivity Management
- Knowledge of Lean Manufacturing, Kaizen, Six Sigma, TPS, or WCM methodologies
- Advanced Excel skills and experience with Power BI or similar analytics tools
- Fluent English
- Cross-functional collaboration
- Analytical mindset
- Problem-solving
- MTM
- MOST
- Time & Motion Studies
In this role, you will drive productivity across DHL’s warehouse operations by developing engineered labor standards and conducting time-and-motion analyses. You will build workforce planning models and partner with cross-functional teams to deliver continuous improvement initiatives. You’ll support automation projects and operational redesigns with quantitative labor analysis and create dashboards to improve visibility and decision-making. This role blends data-driven analysis with Lean and Kaizen practices to boost efficiency in logistics operations in Italy.
Responsabilità
- Develop and implement Engineered Labor Standards across warehouse operations
- Conduct Time & Motion Studies and analyses to identify productivity improvements
- Build workforce planning and labor productivity models
- Collaborate with Operations, Engineering, Resource Planning, and Business Development on improvement initiatives
- Support automation projects and operational redesigns through labor analysis and productivity modeling
- Develop dashboards, KPIs, and reporting tools for visibility and decision-making
- Analyze performance against standards and implement corrective actions
- Validate labor assumptions for start-ups, redesigns, automation projects, and new opportunities
- Support Lean, Kaizen, and process optimization through quantitative analysis
Requisiti fondamentali
- Degree in Industrial Engineering, Mechanical Engineering, Operations Management, Logistics Engineering, or related field
- Experience in Industrial Engineering, Time & Methods, Productivity Engineering, Manufacturing Excellence, or Continuous Improvement roles
- Strong expertise in MTM, MOST, Time & Motion Studies, Engineered Labor Standards, Workforce Planning, and Productivity Management
- Knowledge of Lean Manufacturing, Kaizen, Six Sigma, TPS, or WCM methodologies
- Advanced Excel skills and experience with Power BI or similar analytics tools
- Fluent English
- Cross-functional collaboration
- Analytical mindset
- Problem-solving
- MTM
- MOST
- Time & Motion Studies