Logistics Engineer: Data-Driven Ops & Automation

Arvato Bertelsmann; Louisville (KY); On-site; USD 95,000 - 125,000; Full time

Benefits offered by this job

Medical, Dental, Vision, Life

401(k) with company matching up to 6%

Paid Time Off

Flexible Spending Accounts

Tuition reimbursement / training

Commuter benefits

Employee engagement activities

Job summary

Arvato Bertelsmann in Louisville, KY, is seeking a Logistics Engineer to design and improve supply chain systems, using data analytics to cut costs and boost efficiency. You will analyze processes, develop data-driven solutions, and implement automation to optimize material flow and reduce manual labor.

The role requires strong knowledge of lean methods, ERP and inventory systems, and experience leading cross-functional teams to deliver on-time projects within scope.

Qualifications

• Bachelor’s degree in Engineering or related field with 5–7 years of experience.
• Proven data analytics, process improvement and material flow management experience.
• Lean manufacturing principles and continuous improvement knowledge.
• Experience with automation technologies and systems integration.
• ERP systems and inventory management software familiarity.

Responsibilities

• Utilize data analytics to identify inefficiencies and opportunities for improvement.
• Develop data-driven solutions to optimize workflows and material handling.
• Lead cross-functional projects to drive process improvements and efficiency.
• Design and optimize material flow strategies for timely movement of materials.
• Collaborate with procurement, inventory, and production teams to streamline ops.
• Identify opportunities for automation to enhance productivity.

Skills

Data analytics

Lean manufacturing

Project management

Cross-functional collaboration

Problem-solving

Education

Bachelor’s degree in Engineering

Master’s degree preferred

Tools

AutoCAD

Excel

PowerBI

Job description

Arvato Bertelsmann in Louisville, KY, is seeking a Logistics Engineer to design and improve supply chain systems, using data analytics to cut costs and boost efficiency. You will analyze processes, develop data-driven solutions, and implement automation to optimize material flow and reduce manual labor.

The role requires strong knowledge of lean methods, ERP and inventory systems, and experience leading cross-functional teams to deliver on-time projects within scope.