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Job reputed company: 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. 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. Serve as a key analytics reputed company in the ERP/MRP system 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. Drive user adoption by helping build reputed company dashboards and analytical tools that connect business needs with ERP capabilities. 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. 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 drive process improvement opportunities reputed company SIOP and reputed company 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. Requirements: Bachelors or Masters degree in Data science, Statistics, Industrial Engineering 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 understanding of SIOP, MRP, and manufacturing operations processes Excellent problem-solving skills and business acumen; reputed company to reputed company analytics to operational and financial reputed company Strong communication and storytelling skills, with the ability to present data to executive and operational audiences Analytical and detail-oriented thinker Curious, self-driven, and proactive in problem-solving Comfortable working with ambiguity in a fast-growing manufacturing environment reputed company reputed company with cross-functional communication strength Passion for data accuracy, process improvement, and reputed company learning Excitement about building systems, data models, and insights that reputed company with a growing business Benefits: reputed company with performance incentives 100% company-reputed company medical, dental, and reputed company 401(k) with company match 3 weeks PTO 10 reputed company holidays 2 floating holidays Apply tot his job Apply To this Job .
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