Demand Manager

Job summary

The Demand Manager plays a key role in ensuring accurate forecasts and optimized inventory levels across all locations. In addition to managing day-to-day forecasting, the role leads initiatives to improve forecasting processes, analytical methods, and system solutions. The position also supports analysis and process development across the supply chain, with a strong focus on demand forecasting and planning efficiency.

Main Duties and Responsibilities

• Develop, monitor, and adjust forecasts for each item and location to secure optimal service levels and minimize overstock or stockout situations.
• Lead and coordinate development projects aimed at improving forecasting processes, analytical tools, and system functionality (e.g., GIM Syncron, Dynamics AX).
• Support analysis and process development initiatives within the broader supply chain — focusing on areas where demand forecasting impacts purchasing, production, and distribution planning.
• Execute and follow up on assortment changes within the system, ensuring smooth implementation and supply chain alignment.
• Compile, analyze, and refine forecasting data in GIM and AX, focusing on:
• Operational forecasting
• Materials planning
• Safety stock/seasonal profiles.
• Act as Super User for the forecasting tool GIM Syncron, supporting users, maintaining data integrity, and promoting best practices.
• Ensure all relevant KPIs are defined, tracked, and analyzed to support data-driven decision-making.
• Collaborate closely with supply chain, purchasing, and sales teams to ensure accurate input data and effective coordination.
• Develop tools and methods to simplify workflows, strengthen forecast quality, and support continuous improvement across the supply chain.
• Operate both internally and externally to acquire the necessary understanding of the full supply chain and deliver optimal total solutions for the company and its customers.

Core Competencies and Requirements

• University degree in Supply Chain Management, Logistics, or a related field.
• 2–3+ years in supply chain planning, demand forecasting, or logistics operations.
• Proven experience in process improvement, data analysis, or system development.
• Skilled in forecasting tools (e.g., GIM Syncron) and ERP systems (e.g. Dynamics AX).
• Experience leveraging AI, machine learning, or advanced analytics to enhance forecasting is a plus.
• Strong ability to collaborate cross-functionally and translate operational needs into practical system or process solutions.
• Advanced proficiency in Microsoft Excel for data analysis and reporting.
• Familiarity with AI-driven analytics, machine learning models, or predictive algorithms used in supply chain forecasting is an advantage.
• Strong analytical and system-oriented mindset, with the ability to connect business processes to system functionality.
• Analytical and structured: Turns data into insights and identifies improvement opportunities.
• Development-oriented: Improves processes, systems, and analytical tools.
• Collaborative and communicative: Works across teams with clear communication.
• Proactive and accountable: Takes ownership and drives tasks to completion.
• Service- and business-minded: Understands how forecasting supports service levels and efficiency.