Build and maintain data pipelines, retrieval mechanisms, and data science systems supporting demand and supply segmentation and statistical forecasting. Automate data visualization production, validate and combine data from multiple sources, assess data quality and accessibility, and perform data manipulation, statistical modeling, forecasting, and root-cause analysis. Communicate complex findings clearly and improve organizational use of data assets.

Build and deploy statistical and ML models (especially demand forecasting) to improve sales forecast accuracy. Analyze data, create actionable insights, collaborate with stakeholders and regional teams, set analytics standards, monitor model performance, and deliver dashboards and visualizations for supply chain decision-making.