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Mid-level, generalist Data Engineer role with moderate brand and broad skills yields medium candidate competition.
Strong supply-chain and SAP experience requirement reduces cross-industry transferability.
Specific supply-chain experience plus mandatory technical ETL, SAP, SQL and BI skills increases strictness.
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Lead the practical application of data science in global supply chain planning and inventory management to improve processes and deliver financial value.
Manage design, development, and deployment of analytical tools, optimization models, and supply chain simulations supporting decision-making in planning teams.
Collaborate with stakeholders worldwide and influence senior leadership on scalable, secure, and efficient data-driven solutions aligned with organizational strategies.
5-7+ years of experience in Global Supply Chain and Inventory Management (multi-site, multi-region).
Degree in Supply Chain Management or APICS CPIM certification required.
Proven experience with planning systems (SAP APO/IBP, OM Partners or similar) and SAP architecture (tables, transactions).
Strong technical skills in data engineering, including ETL pipelines, SQL, Python/R, Excel, and Power BI.
Multidisciplinary professional with expertise in project management and supply chain planning combined with strong technical and analytical skills.
Experienced in evaluating and integrating AI-assisted development tools for accelerating data analysis and supply chain optimization.
Strategic thinker able to work independently with moderate supervision, comfortable interacting across global teams and translating complex data into business impact.