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Adidas MANAGER PLANNING PROCESSES & ANALYTICS China, Shanghai, Yangpu District 577262508
17.02.2025
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Key Responsibilities
- Maintain thorough understanding of the factors influencing the dynamics of the supply and demand data within the various system infrastructures.
- Manage & execute standardized reporting, dashboards, and ad-hoc analysis.
- Enhance reporting and analytical capabilities through automation of data collection.
- Identify improvement potential through various analyses, derive solutions and facilitate related decisions.
- Develop and implement adequate and aligned communication packages to present results, recommendations, and solutions.
- Develop and implement department-related state-of-the-art analytic tools. Apply the tools to provide analytical support within the assigned area and/or cross-divisional when appropriate.
- Be an expert and function as a knowledge base of data, analyses, and systems within the assigned area.
- Coach, train, and support other team members in using the analytic tools and data to make optimal planning and allocation decisions.
- Lead or participate in data, analytics, or system projects as assigned.
- Ensure all sourcing operations and practices fully comply with adidas’ Responsible Sourcing & Purchasing Policy, adidas standards, and legal requirements, while managing the relevant processes internally and externally.
- Role model leadership to foster a culture of Diversity, Equity & Inclusion that strives for an inclusive workplace.
- Global Sourcing: Allocation & Planning, Sourcing Operations, Materials, Costing
- Global Operations: Product Operations including Business Unit Planners and Development, Global Product Supply, Supply Chain Management (e.g., Logistics, Customs, S&P)
- Deep business understanding of Allocation and Planning processes and structure
- Analytical and critical thinking skills to manage large data quantities from multiple sources and translate results into business language and dashboards (e.g., PowerBI)
- Ability to define problems, collect data, establish facts, and draw valid conclusions
- Good communication and storytelling skills for persuasion and convincing others
- Ability to adapt in a consistently changing environment and different management levels of a global organization
- Ability to operate cross-functionally and understanding of external business drivers
- Experienced in process automation, data analysis, and machine learning tools (e.g., Alteryx, Python, SQL, UIPath)
- Fluent in Business English (written and spoken)
- University degree, preferably in Business, Data Science, or Supply Chain Management
- Minimum 3-5 years of experience in related fields
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