Placement Student -Packaging Data Analyst

DESCRIPTION

Our culture believes in POWERING YOUR POTENTIAL . We provide global opportunities to develop your career, make your community a better place and work with today's most innovative thinkers to solve the world's toughest problems.

We believe in flexibility for you to explore your passions while making an impact through meaningful work within our inclusive workforce. That's what #LifeAtCummins is all about.

We are looking for an enthusiastic Packaging Data Analyst Placement Student to join our team specializing in Logistics for our Corporate/CBS Business Segment in UK, Daventry. During your placement with us, you will learn how a major global organization operates, gaining the tools and exposure you will need to become an expert in the industry and power your potential!

This role is available to candidates who qualify for a placement year and will commence Summer of 2026.

RESPONSIBILITIES

In this role, you will make an impact in the following ways:

• Packaging Data Collection and Analysis from external suppliers and other Cummins sites; apply prompt engineering techniques to optimize language model performance, including crafting, testing, and refining prompts.
• Create reports and visualizations to understand supplier packaging data; design, develop and deploy AI Agents tailored to specific business cases, ensuring, accurate and user-friendly interactions.
• Data Quality Improvement: Work with the data quality team to address gaps and improve the data collection process.
• Stakeholder Collaboration: Collaborate with external stakeholders to understand their packaging data needs and provide relevant insights.
• Data Monitoring and Cleaning: Monitor, audit, and clean data to ensure accuracy and reliability.
• Performance Monitoring: Build and monitor key performance indicators (KPIs) and reports related to packaging performance; work with global supply chain partners on environmental packaging improvement projects.

• Working towards a degree in Business/Data Science/Supply Chain/Statistics/Business Analytics or related area.
• Excellent IT skills, particularly in Excel, Excel Macros, PowerPoint, Power Bi - Publishing, Monitoring, DAX, SQL and Python.
• Previous experience as a data analyst.
• Positive attitude, strong personal motivation; being proactive in a dynamic working environment.