Dyson is seeking a Global Spares Forecasting Analytics Manager in Singapore to lead the evolution of their forecasting processes through data-driven insights. The ideal candidate will build and optimize forecasting models, ensuring accuracy and commercial relevance while collaborating across functions to enhance customer satisfaction
Job Summary
You will build and own a robust forecasting framework grounded in robust scenario modelling, product lifecycle dynamics, and customer purchase behaviour.
Transition the forecasting function to a robust, data-driven and model-based process.
Support scenario planning (e.g. new product launches, supply constraints, pricing changes).
Matching Summary
Match Score: 85
Dyson is seeking a Global Spares Forecasting Analytics Manager in Singapore to lead the evolution of their forecasting processes through data-driven insights. The ideal candidate will build and optimize forecasting models, ensuring accuracy and commercial relevance while collaborating across functions to enhance customer satisfaction.
Skills & Requirements
Must-have
build dynamic forecasting models
manipulate complex datasets
statistical methods
global implementation
cross-functional collaboration
advanced Excel skill
Nice-to-have
Python, SQL or similar tools
global business experience
intellectually rigorous
commercially aware
Key Requirements
Advanced Excel skill is a must
Experience managing demand forecasting, planning, or analytics in a global business is a plus
Comfortable working with complex, ambiguous, and imperfect datasets