Placement Student- Transportation Analyst

Cummins Inc; Stone Cross; On-site; GBP 7,800 - 11,000; Part time

Job summary

Cummins Inc. in the UK is seeking a student for a Supply Chain Analytics role to support KPIs and data integrity across major projects. You will help develop reporting capabilities and make operational performance visible.

You will coordinate with stakeholders, interpret KPIs and propose action plans, while building scalable analytics using Excel, PowerPoint and Power BI. The internship emphasizes collaboration and workload management in a fast-paced environment.

Qualifications

• Currently pursuing a degree in Supply Chain, Logistics or Data Analytics.
• Strong analytical thinking and problem solving.
• Good communication and teamwork skills.

Responsibilities

• Support data integrity and KPI reporting for supply chain.
• Collaborate with stakeholders to analyse KPIs and propose actions.
• Develop analytics to visualize operational performance and trends.
• Utilize Excel/PowerPoint; Power BI basic knowledge encouraged.

Skills

Data interpretation

Problem solving

Team player

Time management

Education

Pursuing degree in Supply Chain/Logistics/Data Analytics

Tools

Excel

PowerPoint

Power BI

Job description

• Involvement and support in all Major Global and Cross Business Unit projects, ensuring data integrity of all reports, understanding and developing reporting capabilities for supply chain KPIs.
• Coordinating with stakeholders to analyse and interpret KPIs in order to identify areas for improvement and action plans, measuring carrier performance through the use of KPIs and assessment scorecards.
• Development of Supply Chain Analytics to make operational performance and trends visible.
• Utilizing existing business systems to provide analytics and reporting that are capable and repeatable.
• Financial reporting and tracking of spend and project savings.
• Development of supply chain models for scenario analysis.

  We are looking for a wide range of applicants studying towards a Supply Chain, Logistics or Data/Statistics related area.

• Strong skills with Microsoft applications such as Excel and PowerPoint are required, knowledge of Power BI would also be advantageous although not essential.
• Ability to interpret data, innovating to solve problems.
• Good team player and able to manage workload effectively.