Supply Chain Intern; Year Round

About McNeilus, an Oshkosh Company

McNeilus Truck and Manufacturing Inc. is committed to serving everyday heroes and is an industry leading designer and manufacturer of refuse truck bodies. McNeilus produces a complete line of high-performance rear load, front load, and automated side load refuse bodies to augment any refuse collection fleet. Our team members are critical in our mission of supporting waste warriors and keeping communities safe and clean.

As aSupply Chain Data Analytics Internat Oshkosh Vocational, you will play a hands-on role in shaping the future of our Intelligent Supply Chain. In this technical and collaborative role, you will support pivotal digital transformation initiatives including developing advanced analytics reports, delivering interactive intelligence dashboards, and explore automating workflows using

Generative AItools.

This opportunity offers a unique blend of technical learning and deep exploration into Global Procurement & Supply Chain operations. Partnering closely with cross-functional supply chain stakeholders and Digital Technology (DT) analysts, you will translate complex, multi-system data into actionable business intelligence. If you are inquisitive, analytical, and eager to tackle complex projects that challenge you both technically and creatively, this role is built for you.

These duties are not meant to beall-inclusive and other duties may be assigned:

• Explore and understand Strategic and Tactical Supply Chain processes workflows.
• Identify manual reporting bottlenecks and assist in automating repetitive data-gathering tasks.
• Partner with Strategic and Tactical Supply Chain teams to understand their data pain points and deliver custom analytics solutions.
• Write and optimize SQL queries to extract, clean, and merge transactional data from various enterprise systems.
• Practice effective communication with technical and non-technical audiences and translate data insights into practical business actions.
• Translate complex datasets into clean, interactive dashboards with direction and assistance from Sr. Analysts.
• Monitor, maintain, and enhance interactive
  
  Power BIdashboards that track critical KPI metrics.
• Explore and test cutting-edge generative AI and LLM productivity tools (such as Google Gemini) to determine how they can be leveraged to streamline procurement workflows.

• Student pursuing a Bachelor’s degree in Supply Chain, Business Analytics, Data Analytics, Math, Statistics or related areas for entire duration of internship.

• Strong analytical and investigative skills
• Excellent attention to detail, follow-through, and time management.
• Supply chain experience within a manufacturing environment.
• Experience utilizing ERP systems such as JD Edwards or Infor Syteline.
• Familiarity with SQL, data warehouses, or ERP reporting tables.
• Experience building reports or dashboards in Power BI, Tableau, or similar BI tools.

$18.00 - $37.00

The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate’s experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.

Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporate tale

Oshkosh Corporation is a merit-based Equal Opportunity Employer.

Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision…