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Parts Operations and Data Analysis - Placement Year

  • Goodwood, ON
  • On-site
  • Posted Oct 8, 2026
  • 1 position

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Employment type
Internship / apprenticeship
Experience level
Entry, Junior · 0+ years
Minimum education
Bachelor’s degree
Posting language
English
Working hours
40 hours per week
Seniority
Internship

Job summary

Analyze sales, transport, logistics, and stock data to identify cost savings, improve inventory accuracy, and optimize material flow and data quality. Create performance reports and presentations, support improvement projects, and help implement process improvements across Parts Operations.

Job details

Start With What Drives You. Rolls-Royce Motor Cars is part of the BMW Group and its Goodwood manufacturing plant sits in the heart of the West Sussex countryside. As the epitome of exclusive super luxury, a Rolls-Royce delivers unmatched quality, style, and performance. Behind the legendary brand is a team of passionate and highly talented people who do their utmost to satisfy the wishes of clients who commission a Rolls-Royce. Each year we offer internship opportunities and we are keen to hear from you if you are currently studying an undergraduate degree and are looking to complete a 13-month placement. The maxim of Sir Henry Royce, ‘take the best that exists and make it better’, permeates in everything we do at Rolls-Royce. As a student, you will have hands on experience from day one, gaining practical insights into the corporate operations of a world-class automotive manufacturer. Rolls Royce Motor Cars, Goodwood, Parts Operations and Data Analysis - Placement Year(July 2027) During this internship the successful candidate will be exposed not only to practical business challenges on a daily basis, but to longer term improvement projects which will benefit the whole Aftersales Business. The intern will be a vital asset to support the team from analysis, planning and implementation point of view, and will be able to network within Parts Operations, and with other Rolls-Royce departments. What awaits you? Supply chain / packaging improvements across multiple suppliers to improve material flow and reduce operational costs. Analyse sales, transport and logistics data to identify cost-saving opportunities and process improvements. Stock analysis, supporting the inventory function to improve overall stock accuracy and optimisation. Material master data review to achieve better data quality. Daily and weekly reporting including the creation of new reports & presentations to monitor various performance KPIs. Supporting project activities on an on-demand basis. Process improvements for the teams of Parts Operations department. What should you bring along? Studying towards a bachelor’s degree and on track to achieve a 2:1 or above. Analytical, logical and self-motivated individual. Able to think creatively and off own initiative. Multi-task whilst maintaining structure and attention to detail. Good communication skills with ability to assert oneself. Good knowledge of MS Office package. What can you look forward to? Great Pay – A competitive annual salary, 27 days holiday per annum (pro rata to your contract) and an attractive pension scheme. Rewarding Work-Life Balance – Enjoy a supportive working environment that promotes wellbeing, flexibility and sustainable success. Exciting Additional Benefits – You will have the opportunity to enjoy other employee benefits, a subsidised on-site restaurant and access to our Advantages scheme which gives you a range of offers and discounts. What do you need to do now? If you apply, the next stages of the recruiting process include a virtual assessment centre and an in person interview with the hiring manager. Please note: To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK. We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation. At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Closing date for applications: Sunday 18th October 2026 Any further questions? Email us on recruitment-uk@bmwgroup.com Parts Operations and Data Analysis - Placement Year

What you’ll do

Analyze sales, transport, logistics, and stock data to identify cost savings, improve inventory accuracy, and optimize material flow and data quality. Create performance reports and presentations, support improvement projects, and help implement process improvements across Parts Operations.

Requirements

Applicants must be studying toward a bachelor's degree, be on track to achieve at least a 2:1, and return to their studies for at least six months after the placement. They should be analytical, self-motivated, creative, organized, detail-oriented, able to multitask, communicate confidently, and have good knowledge of Microsoft Office.

Benefits

  • 27 Days of Annual Leave
  • Pension Scheme
  • Supportive Working Environment
  • Flexible Working
  • Subsidised On-Site Restaurant
  • Employee Discounts

Listed skills

  • Data analysis · Preferred
  • Inventory management · Preferred
  • Process Improvement · Preferred
  • Microsoft Office · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Data Analysis
  • Supply Chain Improvement
  • Packaging Improvement
  • Sales Data Analysis
  • Transport and Logistics Analysis
  • Cost-Saving Analysis
  • Inventory Management
  • Stock Accuracy
  • Stock Optimisation
  • Material Master Data
  • Data Quality
  • KPI Reporting
  • Report and Presentation Creation
  • Project Support
  • Process Improvement
  • Microsoft Office

Job areas

  • Logistics
  • Data & Analytics
  • Manufacturing

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