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Supply Chain and Analytics Expert

Volvo Business Services Aktiebolag

Suecia📅 22/9/2026

Descripción

Company description: "Founded in 1927, the Volvo Group is committed to driving prosperity and shaping the future landscape through sustainable transport, mobility, and infrastructure solutions. By offering trucks, buses, construction equipment, power solutions for marine and industrial applications, financing and services that increase our customers’ uptime and productivity. Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm." Job description: Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. What you will do We keep society running by making sure that Volvo Group trucks, engines, buses, and construction equipment keep running uninterrupted all over the world. You will forecast global spare parts demand and optimizing inventory so the right parts are available in the right place at the right time. You will contribute to leading the Sales & Operations Planning (S&OP) process and turn insights into decisions that improve service, availability, and sustainability across a global distribution network. You will also support the transformation of our planning capabilities by contributing to PlanIT, our cloud-native planning solution on Azure, working in an exploratory environment where initiative and collaboration matter more than hierarchy. Your future team You will join a team that combines supply chain expertise with data analytics to support Volvo Trucks and Volvo Buses, collaborating closely across the broader Service Operations & Technology organization in a diverse, international setting. Who are you? In this role, you will bring strong analytical skills combined with supply chain domain knowledge. You have an interest in bridging operational reality with data-driven pl
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