About the role
AI summarisedManager-level role responsible for building and owning a global spare-parts forecasting framework that uses data-driven models to predict demand across product lifecycles and customer behaviour, ensuring high service levels and commercial impact.
Consumer ElectronicsOnsiteSales Generalist
Key Responsibilities
- Build and own a robust forecasting framework grounded in robust scenario modelling, product lifecycle dynamics, and customer purchase behaviour
- Develop and evolve models that are globally aligned and locally agile - ensuring forecasts are both accurate and commercially meaningful
Requirements
- Strong capability to build dynamic and highly automated models Strong grasp of forecasting and data tools, with hands-on experience in data manipulation and modelling Comfortable working with complex, ambiguous, and imperfect datasets Experience managing demand forecasting, planning, or analytics in a global business is a plus Technical Capability Advanced Excel skill is a must (modelling, structuring, scenario analysis) Familiarity with Python, SQL or similar tools (preferred) Mindset & Approach Highly driven, proactive, and comfortable operating in a fast-paced environment Curious and intellectually rigorous; challenges assumptions Strong ownership mindset with a willingness to go deep into detail Able to translate complex analysis into clear business insights Collaborative, with strong stakeholder management and influencing skills Commercially aware, with a focus on outcomes Why Dyson?
- Take ownership of a global spares forecasting function pivotal to customer happiness, supply efficiency, and operational excellence.
- You will shape how Dyson forecasts and delivers spares at scale - building systems and insights that set global standards in service.