Position Summary
We are seeking a results-driven Logistics Systems & Process Improvement Engineer to support continuous improvement initiatives across global logistics, warehouse operations, and supply chain functions. This role focuses on operational analysis, automation systems, process optimization, reporting, and cross-functional project execution. The ideal candidate will leverage engineering principles, data analytics, and technology solutions to improve productivity, reduce costs, and enhance logistics performance.
Key Responsibilities
Logistics Analysis & Operational Excellence
- Conduct time studies, zero-based analysis, rate studies, network analysis, statistical evaluations, flow path reviews, and supply chain assessments.
- Identify process improvement opportunities through benchmarking, competitive analysis, and critical thinking.
- Develop and maintain metrics, KPIs, forecasts, cost estimates, and cost models for logistics operations.
- Provide facility, transportation, and capacity planning analysis for distribution functions.
- Analyze operational data to identify performance gaps and recommend improvements.
Systems, Automation & Technology
- Support and improve warehouse and logistics systems including:
- Warehouse Management Systems (WMS)
- Laser Guided Vehicles (LGV)
- Automated Storage & Retrieval Systems (AS/RS)
- Integrated material handling systems
- Assist with design, specification, procurement, installation, and startup of new equipment and infrastructure upgrades.
- Evaluate and recommend software or system enhancements.
- Develop business tools, reports, dashboards, and ad hoc queries to support operations.
Continuous Improvement & Engineering Support
- Lead or support cross-functional strategic projects focused on cost savings, productivity, and operational efficiency.
- Drive facility and process upgrades through cost-effective capital improvement projects.
- Develop and implement SOPs, business rules, and standardized processes.
- Use modeling, simulation, and engineering methodologies to validate assumptions and optimize systems.
- Apply preventative design approaches to identify risks and reduce operational failures.
Data Analytics & Optimization
- Design and implement mathematical models and optimization algorithms for supply chain and logistics improvement.
- Interpret predictive and descriptive analytics to support business decision-making.
- Build production capacity models using operational data and sales forecasts.
- Develop intuitive reporting tools that identify trends, risks, and opportunities in real time.
- Promote data-driven decision-making and optimization across the organization.
Collaboration & Communication
- Partner with plant leadership, supervisors, operations teams, OEMs, and internal stakeholders to improve systems and processes.
- Prepare project updates, expenditure proposals, cost justifications, presentations, and management reports.
- Provide technical support and drive consistency across operational sites.
Qualifications
Minimum Requirements
- Experience in logistics, supply chain, industrial engineering, automation systems, or related field.
- Exposure to advanced material handling systems and information technologies.
- Experience supporting lifecycle implementations of engineered automation solutions.
- Project management experience with ability to manage multiple priorities.
- Strong analytical, problem-solving, and communication skills.
- Proficiency in reporting tools, spreadsheets, and presentation software (Excel, PowerPoint, Word).