COE Planning (SCM)

You should have a desired education background of MBA/M Tech in Industrial Engineering or Management, PG in Engineering or Statistics, or PhD in Operations research/optimization domain. Additionally, you should have hands-on experience in Supply Chain areas such as Demand Planning, Forecasting, Supply Planning, Inventory Management, Logistics, and Spend Analytics. Strong analytical skills are required with the ability to collect, organize, and analyze significant amounts of data with attention to detail and accuracy. Proficiency in BI Tools like Tableau/Power BI and programming skills in R/Python, SQL, MS Office, and VBA are essential. As a Supply Chain Analytics professional, your responsibilities will include working in the Supply Chain Analytics space with hands-on experience in areas like Demand Planning, Supply Planning, Inventory Management, Logistics, and Spend Analytics. You should be familiar with Sales and Operation Planning, Forecasting, Demand Planning, Capacity Planning, Inventory Management, Supply Planning, Logistics, Spend, and Procurement. Designing Supply Chain Analytical solutions, defining KPIs and metrics, developing BI solutions and reports, participating in client meetings, workshops, and understanding supply chain situations/issues are part of your role. Experience in Digital Transformation, including data strategy, orchestration, Governance, Architecture, BI for building reporting/insights/analytics factory, is required. You should have a mix of modeling and programming experience, and experience in modeling work for solving core business issues using forecasting, predictive modeling, Machine learning, Python, or R is an added advantage. Exposure to Visualization tools and the ability to learn different analytical tools as per business requirements is beneficial. Good knowledge of various statistical forecasting and inventory optimization techniques is necessary. Handling large datasets, identifying, analyzing, and interpreting trends or patterns in complex data sets using statistical techniques to generate actionable insights, and working closely with global clients and multiple cross-functional teams to identify business needs, requirements, and prioritize needs are important aspects of this role.,