School-to-Work Logistics Associate: Data-Driven Operations

Cummins Inc.; Florence (KY); On-site; USD 18,000 - 30,000; Full time

Job summary

Cummins Inc. in Florence, KY seeks a School-to-Work Fall Operations student to support materials flow, inventory, and information across manufacturing and logistics processes.

The role emphasizes Excel-based data analysis, collaboration with cross-functional teams, and continuous improvement initiatives. Eligible candidates are pursuing a BS, MS, or Engineering degree in operations, manufacturing, logistics, or related fields, with hands-on experience in a fast-paced industrial setting and a

Qualifications

• Attention to detail in tracking inventory, shipments, schedules, and data.
• Strong Excel skills to analyze data and prepare reports.
• Clear written and verbal communication with team and stakeholders.
• Initiative to identify and implement process improvements.
• Strong analytical and problem-solving abilities for logistics processes.

Responsibilities

• Support flow of materials, inventory, and information to keep operations smooth.
• Analyze logistics data using MS Office to identify trends and improvements.
• Collaborate with manufacturing, supply chain, operations, and engineering teams.
• Contribute to continuous improvement by evaluating workflows and reducing waste.
• Assist with planning, tracking, and coordinating inventory and shipments.
• Apply classroom knowledge to practical projects delivering measurable value.
• Develop reports and documentation for stakeholders to enable data-driven decisions.
• Build hands-on experience in a fast-paced manufacturing environment.

Skills

Attention to detail

Excel proficiency

Communication

Continuous improvement mindset

Analytical skills

Education

Pursuing BS/MS or Engineering degree

Tools

Microsoft Office

Job description

Cummins Inc. in Florence, KY seeks a School-to-Work Fall Operations student to support materials flow, inventory, and information across manufacturing and logistics processes.

The role emphasizes Excel-based data analysis, collaboration with cross-functional teams, and continuous improvement initiatives. Eligible candidates are pursuing a BS, MS, or Engineering degree in operations, manufacturing, logistics, or related fields, with hands-on experience in a fast-paced industrial setting and a