Logistics Engineer

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

Company Description

Job Description

The Logistics Engineer designs and improves supply chain systems to enhance efficiency and reduce costs. This role involves analyzing current logistics processes, developing innovative solutions, and implementing new technologies to optimize the movement and storage of goods. This role will partner with different departments and stakeholders to identify, implement and achieve operational efficiency.

YOUR TASKS

• Utilize data analytics to identify inefficiencies and opportunities for improvement within the production process.

• Using Data analytics to create greenfield solutions or optimizing brownfield.

• Develop data-driven solutions to optimize operational workflows and material handling systems.

• Analyze current processes and workflows to identify bottlenecks and areas for improvement.

• Develop and document standard operating procedures (SOPs) and best practices.

• Design and optimize material flow strategies to ensure efficient and timely movement of materials.

• Collaborate with procurement, inventory, and production teams to streamline supply chain operations.

• Identify opportunities for automation to enhance productivity and reduce manual labor.

• Evaluate and implement automation technologies, including robotics and automated systems.

• Analyze labor requirements and forecast headcount needs based on production demands.

• Develop staffing plans to ensure optimal workforce utilization.

• Lead and manage cross-functional projects to drive process improvements and operational excellence.

• Develop project plans, timelines, and budgets, and ensure projects are completed on time and within scope.

Qualifications

• Bachelor’s degree in Engineering, Industrial Engineering, or a related field with at least 5-7 years of experience.

• Proven experience in data analytics, process improvement, and material flow management.

• Strong knowledge of lean manufacturing principles and continuous improvement methodologies.

• Experience with automation technologies and systems integration.

• Proficient in AutoCAD.

• Proficient in data analysis tools (e.g., Excel, PowerBI,) and process mapping for operational processes.

• Excellent project management skills with the ability to lead cross-functional teams.

• Strong analytical, problem-solving, and decision-making abilities.

• Effective communication and interpersonal skills.

• Familiarity with robotics and advanced automation technologies.

• Master’s degree in Engineering, Data Analytics, or a related field preferred.

• Certification in Lean Six Sigma or related continuous improvement methodologies preferred.

• Experience with ERP systems and inventory management software preferred.

Additional Information

• Medical, Dental, Vision, Life Insurance, and Disability Pay.

• 401(k) with company matching up to 6%.

• Paid Time Off, including paid holidays.

• Flexible Spending Accounts.

• Voluntary benefits such as legal and financial assistance, pet insurance, and more.

• Employee Assistance Program.

• Ongoing employee development opportunities including tuition reimbursement, scholarships, and training.

• Commuter benefits.

• Employee engagement activities.

Disclosure requirements pertaining to the collection of your personal data:

Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG.

The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here (https://bertelsmann-hr.de/docs/Overview_of_Data_Retention_Periods_EN.pdf) .

You can contact the company’s Data Protection Officer at the above-mentioned postal address.

Further information on data protection and your rights can be found here (https://jobsearch.createyourowncareer.com/content/Privacy-Policy/?locale=en_US) .

We strive to be an equitable and inclusive workplace for our employees and value their diverse perspectives, which contribute to the diversity of our company. Therefore, we welcome applications from people who enrich our company with their identity, background and personal experience.

Learn more about our commitment to Equal Opportunity and Accommodation Information here (https://career.arvato.com/equal-opportunity-and-accommodation-information) .