Job Title

We are looking for an experienced Supply Chain Manager with 5-7 years of experience for Gurgaon to lead our Demand Planning and Sales & Operations Planning (S&OP) processes. Your role will involve managing forecasting techniques, optimizing inventory management, and using analytics to support decision-making. The ideal candidate should have expertise in supply chain operations, demand forecasting, S&OP, and leveraging analytics to improve supply chain effectiveness. The candidate must also possess strong skills in R, Python, and advanced analytics. Key Responsibilities Demand Planning & Forecasting: Build and maintain statistical forecasting models using R, Python, or relevant tools . Integrate external data (market trends, sales data, macroeconomic indicators) for robust forecasts. Collaborate with Sales, Marketing, and Finance to align on forecasted volumes and business assumptions. S&OP Management: Drive monthly and quarterly S&OP cycles, ensuring cross-functional alignment on demand, inventory, and supply. Create simulation models to evaluate supply scenarios, lead times, and capacity constraints. Advanced Analytics & Reporting: Apply machine learning and time-series techniques to optimize forecast accuracy and inventory performance. Automate dashboards and reports using Python, R, Power BI , or similar BI tools. Deliver insights on performance metrics (e.g., forecast accuracy, inventory turns, service levels). Inventory Optimization: Develop algorithms or decision support models to minimize excess and obsolete inventory. Balance cost, service levels, and working capital using predictive modeling. Requirements Bachelor’s degree in Engineering, Statistics, Supply Chain, or a related field (Master’s preferred). 5–7 years of experience in supply chain roles, especially in demand forecasting and S&OP . Strong hands-on skills in R and/or Python for statistical analysis, data wrangling, and model development. Advanced knowledge of analytics and visualization tools (Excel, Power BI, Tableau , etc.). Experience with ERP and planning systems (SAP, Oracle, NetSuite, JDA, etc.). Familiarity with concepts like time-series modeling, regression, clustering, or simulation modeling. Strong business acumen and communication skills for cross-functional collaboration.