About us

The Regional Supply Chain team is responsible for overseeing day-to-day supply chain activities within the region's markets. This encompasses responsibilities such as supply planning, logistics and fulfilment, warehouse management, inventory management. Their objective is to ensure the smooth flow of goods from market warehouses to customers while also striving to optimize costs and enhance customer satisfaction.

About the role

The Materials Planning & Optimization Analyst is responsible for leveraging advanced analytics and AI-driven tools to enhance material planning accuracy, optimize inventory levels, and improve supply chain efficiency. This role combines data science, predictive modelling, and operational planning to support global material availability and cost optimization.

Key Responsibilities:

Data Analytics & Insights

• Analyze material demand, supply trends, and inventory performance using advanced analytics

• Develop dashboards and tools to support strategic planning and operational decisions

Planning & Forecasting

• Develop and maintain accurate materials requirement plans based on production forecasts, historical data, and market trends.

• Align Master Production Schedule (MPS) with Material Requirements Planning (MRP) strategies.

• Monitor and adjust planning parameters in ERP systems (e.g., SAP, Kinaxis, etc.) to reflect changes in demand or supply

• Utilize AI/ML models (where available) for demand forecasting, supply risk prediction, and inventory optimization

Inventory Management & Process Optimization

• Track and analyze inventory levels, turnover rates, and aging stock to ensure optimal inventory health

• Identify and implement opportunities for inventory reduction and cost savings

• Support material availability and demand fluctuations with proactive planning

• Identify inefficiencies in material planning processes and recommend data-driven improvements

• Collaborate with global supply chain team to standardize and automate planning workflows

Scenario Modelling & Simulation

• Perform “what-if” analysis to assess the impact of supply disruptions, demand changes and material excess/obsolescence risk

• Provide recommendations for contingency planning and risk mitigation

Cross-Functional Collaboration

• Work closely with procurement, manufacturing, and logistics teams to align material plans with business objectives.

• Support material planning & management processes with data-driven insights

About you

• Bachelor’s degree in Supply Chain, Data Analytics, or related field

• 1– 3 years of experience in material planning, supply chain analytics, or data science

• Proficiency in data analytics tools (Power BI, Tableau, or similar) and programming languages (Python, R).

• Experience with AI/ML applications in supply chain e.g. forecasting, optimization (preferred).

• Knowledge of ERP systems (SAP, Oracle) and advanced planning solutions

• Strong analytical, problem-solving, and communication skills

Key Competencies

• Advanced analytics and statistical modelling

• Advanced Data visualization, dashboard & tool development

• ERP and APS system proficiency

• Attention to detail and accuracy

• Continuous improvement mindset

• Strong business acumen and collaboration skills

Benefits

Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition. #LI-AK

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.