• Develop and maintain analytical models that support demand forecasting, capacity planning, and inventory optimization. • Analyze sales, production, and supply chain data to identify trends, risks, and opportunities. • Partner with functional leaders to improve forecast accuracy, service levels, and operational efficiency. • Build predictive and prescriptive models using advanced statistical, machine learning, or optimization techniques to support SIOP decision-making. • Perform sensitivity analyses and scenario modeling to support long-term capacity and investment planning. • Develop algorithms and models that provide forward-looking insight into supply-demand balance, lead times, and production throughput. • Serve as a key analytics lead in the ERP/MRP system deployment and post-implementation phases. • Ensure data accuracy, integrity, and consistency across systems through close collaboration with IT, Operations, and Supply Chain teams. • Support design and validation of ERP data structures (e.g., BOMs, routings, inventory hierarchies) for effective reporting and planning. • Develop reporting frameworks and KPIs to leverage ERP data for real-time operational insights. • Drive user adoption by helping build intuitive dashboards and analytical tools that connect business needs with ERP capabilities. • Design and maintain interactive dashboards and reports (Power BI, Tableau, or equivalent) to track KPIs such as forecast accuracy, lead times, inventory turns, and customer fill rates. • Translate complex data into clear insights for executive leadership and cross-functional teams. • Automate recurring data reports and develop robust data pipelines for real-time visibility. • Partner with IT and Operations to ensure data quality, consistency, and standardization across all systems. • Contribute to the development of a best-in-class analytics infrastructure to support the company’s growth and digital transformation. • Identify and drive process improvement opportunities within SIOP and related business processes. • Support strategic initiatives in production planning, material control, and procurement through analytical insights. • Partner with Finance and Operations to model performance scenarios and improve alignment between demand and supply. • Communicate findings effectively to both technical and non-technical audiences.