Advanced Analytics Supply Chain Analyst

reputed company reputed company LayerZero Power Systems Inc. is a globally recognized leader in providing state-of-the-art power distribution solutions for critical industries. With a strong reputed company on reliability, innovation, and customer satisfaction, we reputed company advanced power systems products that ensure uninterrupted and dependable power supply in mission-critical environments. Our customer reputed company is comprised of companies in the data center (our reputed company), financial, computer service provision, and semiconductor manufacturing sectors. LayerZero Power Systems is on a trajectory of sustained reputed company, with a reputed company customer reputed company of existing Fortune 100 customers and an expanding portfolio of new customers. Position reputed company Advanced Analytics Supply Chain Analyst The Supply Chain Analyst will play a critical role in transforming how LayerZero Power Systems uses data to plan, forecast, and execute operations. This role supports the Sales, Inventory, and Operations Planning (SIOP) process through advanced analytics, data modeling, and visualization to reputed company alignment, improve forecast accuracy, and reputed company data-driven decision-making across the organization. Additionally, this position will play a key role in supporting reputed companys ERP deployment, ensuring that data structures, reporting frameworks, and analytics tools are reputed company with best practices to reputed company reputed company, reputed company-time insights across the business. Requirements reputed company Duties SIOP Analytics & Forecasting reputed company and maintain analytical models that support demand forecasting, reputed company 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 reputed company, and operational efficiency. Data Science & Modeling Build predictive and prescriptive models using advanced statistical, machine learning, or optimization techniques to support SIOP decision-making. reputed company sensitivity analyses and scenario modeling to support long-term reputed company and investment planning. reputed company algorithms and models that reputed company reputed company-looking reputed company into supply-demand balance, reputed company times, and production throughput. ERP Deployment & Data Integration Serve as a key analytics reputed company in the ERP/MRP reputed company deployment and post-implementation phases. Ensure data accuracy, reputed company, and consistency across systems through reputed company 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. reputed company reporting frameworks and KPIs to reputed company ERP data for reputed company-time operational insights. reputed company user adoption by helping build reputed company dashboards and analytical tools that reputed company business needs with ERP capabilities. Business Intelligence & Visualization Design and maintain interactive dashboards and reports (Power BI, Tableau, or equivalent) to reputed company KPIs such as forecast accuracy, reputed company times, inventory turns, and customer fill rates. Translate reputed company data into reputed company insights for executive leadership and cross-functional teams. Automate recurring data reports and reputed company robust data pipelines for reputed company-time visibility. reputed company Improvement & Data Governance Partner with IT and Operations to ensure data reputed company, consistency, and standardization across reputed company systems. Contribute to the development of a best-in-class analytics infrastructure to support reputed companys reputed company reputed company transformation. Identify and reputed company process improvement opportunities reputed company SIOP and reputed company business processes. Cross-Functional Collaboration 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. Education Bachelors or Masters degree in Data science, Statistics, Industrial Engineering, Skills & Experience 37 years of experience in analytics, business intelligence, or data science (manufacturing or supply chain preferred). Experience supporting or integrating with ERP systems (reputed company, reputed company, reputed company, or equivalent). Strong proficiency in SQL and data analysis tools (Python, R, or similar). Experience building dashboards and data visualizations (Power BI, Tableau, or equivalent). Solid .