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Tier-1 brand, metro location and mid-level analytics role with some domain-specific requirements.
Role demands supply-chain domain and SAP/planning experience, limiting cross-industry transferability.
Requires minimum three years plus supply-chain, SAP IBP and analytics skills, so moderately strict screening.
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Lead digital transformation initiatives within Supply Chain Analytics using advanced analytics, simulation, AI/ML modeling, and optimization techniques.
Collaborate across business units, regions, functions, and vendors to design and implement analytics solutions addressing supply chain business problems.
Drive performance improvements by leveraging big data, predictive analytics, and visualization tools like Power BI or Tableau.
Bachelor's degree in Operations, Operations Research, Computer Science, Statistics, Mathematics, Data Science, Analytics, or MBA in Supply Chain Management.
Minimum three years of experience in Supply Chain Management or Operations planning in Hi-Tech or related industry with hands-on cross-functional experience.
Experience with advanced analytics tools such as R, Python, and knowledge of SAP IBP/planning and Ariba supplier management solutions.
Proven ability in designing analytics solutions and working with large data sets for business process improvements.
Experienced in end-to-end supply chain value chain transformation in complex environments with measurable business outcomes.
Capable of orchestrating and designing multi-disciplinary analytics and simulation models to solve supply chain challenges.
Demonstrates strong business acumen and takes high ownership with attention to detail in a cross-functional, multi-stakeholder setting.