> Markdown version of [/jobs/ext/4134617-parts-operations-and-data-analysis-placement-year](https://www.wearedevelopers.com/jobs/ext/4134617-parts-operations-and-data-analysis-placement-year). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Parts Operations and Data Analysis - Placement Year - **Company:** BMW - **Location:** UK - **Contract:** Internship / Graduate position - **Skills:** Data Analysis, SAP MDG - **Published:** October 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e505ec1538f97bcf ## About the Role * 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., 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. ## Description 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.