About this role
Job Requirements
Responsibilities:
• Generate a statistical demand forecast, Collaborate with relevant parties from the Sales and Product Development teams to adjust it as necessary to reflect market realities. Whenever necessary, assists in demand review sessions. • Facilitate the aggregation of monthly demand forecasts at Business level • Analyze and upload timely forecasts for spans of 18 months every month • Record final adjusted demand forecast, along with underlying assumptions and forecast revisions • Determine dependent and independent demand at the level of the manufacturing plant using regional demand forecasts. • Make analytical tools to compare rough cut capacity with demand facilitate decision making. Whenever necessary, assists in Supply review meetings • Create maintain and maintain tools to track key performance indicators for sales and operational planning process. Publish them monthly • Create analytical tools to support initiatives that would lead to supply chain process improvements • Analyze end to end process to identify automation/improvement opportunities and provide relevant solutions Skills:
• Strong analytical and problem-solving abilities, with the capacity to compile, examine, and understand large amounts of complex data. • A keen eye for detail and the ability to spot trends, patterns, and outliers when analyzing data. • Strong verbal and writing communication skills are necessary to successfully deliver results and suggestions to stakeholders at various organizational levels. • Detailed knowledge of supply chain management concepts, such as demand forecasting, capacity management, material requirement planning and inventory management. • strong project management abilities, including the capacity to set priorities, adhere to deadlines, and oversee many projects at once. • proficiency with software and tools for data analysis, such as Excel, SharePoint, and Tableau Required Qualifications:
• Bachelor's degree • 8+ years of related work experience in Supply Chain or Business Analytics