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A leading logistics company in the United Kingdom seeks a Transformation Analyst to analyze and implement optimized warehouse solutions for customers. Responsibilities include assessing current processes, driving operational efficiencies, and collaborating with cross-functional teams. The ideal candidate has warehouse experience, strong analytical skills, and excellent communication abilities. This full-time position offers a salary between £33,500 and £36,000, plus a £5,000 car allowance and various employee benefits.
As a Transformation Analyst, you will analyse and shape warehouse transformation initiatives, supporting the design and implementation of optimised warehouse solutions for both new and existing customers. The role works closely with cross‑functional teams, including Operations, IT, and Procurement, to assess current‑state processes, define future‑state models, and deliver data‑driven solutions aligned with business objectives and the organisation's strategic direction.
Yusen Logistics is working to become the world’s preferred supply chain logistics company. Our complete offer is designed to forge better connections between businesses, customers and communities – through innovative supply chain management, freight forwarding, warehousing and distribution services. As a company, we’re dedicated to a culture of continuous improvement, ensuring everyone who works with us is committed, connected and creative in making us the world’s preferred choice.
This is a full‑time, permanent position offering a salary of £33,500 to £36,000 per annum plus a £5,000 car allowance, dependent on experience. The role operates on a predominantly Monday to Friday schedule, with working hours from 9:00 a.m. to 5:00 p.m.
Please note, applicants must have the legal right to work in the UK, as we are unable to offer visa sponsorship for this position. At Yusen Logistics, we understand the value of utilising AI and other technologies to support the application process but we encourage the candidates to use them to enhance their application and not replace their own effort and authenticity. Therefore, candidates should not rely on AI-generated responses during the interview process.