Logistics Quality Engineering Intern: Data-Driven Ops

Schneider Electric; Middletown Township (PA); On-site; USD 32,000 - 37,000; Part time

Benefits offered by this job

Mentorship

Exposure to supply chain operations

Collaborative environment

Career paths

Job summary

Schneider Electric's Middletown, Pennsylvania facility is offering a Spring2027 on-site internship in Logistics Engineering. You will work with experienced engineers and supply chain professionals, developing analytical, problem-solving, and data-driven skills within a real-world manufacturing and distribution network.

You’ll analyze logistics data, support process improvements, and collaborate with cross-functional teams to optimize transportation, warehousing, and material flow while gaining

Qualifications

• Strong analytical and problem-solving skills with an interest in process optimization.
• Ability to interpret data and draw meaningful insights for business decisions.
• Excellent organizational skills and a proactive approach to learning.
• Effective communication and teamwork across multiple functions.

Responsibilities

• Support logistics engineering initiatives focused on improving transportation, warehousing, and material flow processes.
• Assist in analyzing logistics data, tracking key performance metrics, and identifying opportunities for operational improvements.
• Collaborate with cross-functional teams to enhance efficiency, reliability, and cost performance across the supply chain.
• Contribute to process improvement projects involving facility layouts, inventory flow, transportation networks, and distribution operations.
• Utilize data and problem-solving techniques to help optimize logistics systems and support continuous improvement efforts.

Skills

Analytical skills

Problem-solving

Data interpretation

Communication

Teamwork

Education

Logistics/Industrial/Supply Chain degree (pursuing)

Job description

Schneider Electric's Middletown, Pennsylvania facility is offering a Spring2027 on-site internship in Logistics Engineering. You will work with experienced engineers and supply chain professionals, developing analytical, problem-solving, and data-driven skills within a real-world manufacturing and distribution network.

You’ll analyze logistics data, support process improvements, and collaborate with cross-functional teams to optimize transportation, warehousing, and material flow while gaining