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Strong global brand but niche senior analytics role with specialized toolset, reducing generalist applicant competition.
Technical skills like optimization, Python, and SQL are transferable, but supply-chain domain knowledge raises industry specificity.
Explicit 8-10 years requirement and mandatory optimization, Python, SQL, and supply-chain tool experience enforce strict filters.
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Lead and manage end-to-end supply chain consulting projects focused on network and inventory optimization and managed analytics.
Develop, maintain, and deploy proprietary data science and supply chain analytic tools using optimization solvers, machine learning, and statistical models.
Analyze large complex datasets to generate strategic insights and cost-saving recommendations; communicate findings effectively to clients and stakeholders.
Bachelor's degree in quantitative fields such as Engineering, Operations Research, Supply Chain Management, Data Science, Economics, or Statistics.
8-10 years of relevant experience in supply chain analytics, data science, or consulting role.
Proficiency with supply chain design software (e.g., Coupa/LLamasoft, Blue Yonder), GIS tools or optimization solvers (Gurobi, CPLEX), Python or R, SQL, and data visualization tools (Tableau, Power BI).
Work Experience Required: 8-10 years as explicitly mentioned.
Strong hands-on experience in end-to-end supply chain analytics and consulting projects, demonstrating operational leadership.
Technical expertise in building and enhancing supply chain analytic tools, integrating advanced optimization and machine learning techniques.
Comfortable working in client-facing roles, collaborating across teams, with ability to mentor juniors and manage complex stakeholder communications.