Supply Chain Data & Forecasting Analyst

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Hohmann & Barnard Inc As a part of the global industrial organization Marmon Holdings-which is backed by Berkshire Hathaway- you'll be doing things that matter, leading at every level, and winning a better way. We're committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone's empowered to be their best. The Supply Chain Data & Forecasting Analyst is responsible for developing data-driven insights to support demand forecasting, procurement planning, and production scheduling within a manufacturing environment. This role focuses on analyzing data, building models, and identifying risks and opportunities across the supply chain, including inventory, supplier performance, and production capacity. POSITION REQUIREMENTS: Forecasting & Demand Analytics Develop and maintain baseline statistical forecasts Analyze forecast performance Identify key drivers of demand variability and forecast error Provide insights to improve forecast reliability and reduce bias Procurement & Supply Analytics Analyze procurement data from ERP systems to align purchasing with forecasted demand Monitor supplier performance with supplier scorecards including: Lead times On-time delivery Variability and reliability Quality Evaluate inventory levels against forecast and open purchase orders including identifying risks related to material shortages and excess inventory Work with Finance to perform cost and spend analysis to support procurement decisions Production Planning Analytics Identify gaps between demand, supply, and capacity Ensure product progression throughout ERP Integrated Supply Chain Analysis Connect and analyze forecasting, inventory, procurement and production Provide insights on trade-offs between: Service levels Inventory investment Production efficiency Support S&OP process with data-driven analysis and reporting Data, Systems & Tools - ERP / Planning Systems: Extract and analyze data from Accoountmate and Alere Work with: Inventory data Purchase orders Production orders Bills of materials (BOMs) Analytics & Automation: Provide data-driven recommendations and scenario analysis Identify risks, opportunities, and optimization strategies Clearly communicate trade-offs and impacts Use Excel/Power BI for modeling and analysis: Data cleaning Forecast modeling Automation and scenario analysis To build dashboards and visualizations Automate reporting processes to improve visibility and decision speed QUALIFICATIONS AND COMPETENCIES: Bachelor's degree in Supply Chain, Operations, Business, Engineering, or related field 0-5 years' experience in a manufacturing setting or equivalent Experience analyzing large datasets required Advanced proficiency in Microsoft Excel (pivot tables, lookups, data modeling) Experience with ERP/MRP systems (SAP, Oracle, NetSuite, etc.) Experience with Power BI, Tableau, or similar tools preferred Strong analytical mindset with a focus on cost, performance, and data integrity High accountability with a results-driven approach Strong quantitative and problem-solving abilities Ability to analyze complex datasets across multiple platforms Strong attention to detail and accuracy Quality and timeliness of analytical insights Ability to translate data into clear, actionable insights Strong collaboration and communication skills Continuous improvement mindset aligned to operational excellence Pay Range: - We offer a comprehensive benefits package that may include medical, dental, vision, 401k matching, and more! Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law . We are an equal opportunity employer, and all applicants will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to careers@marmon.com, and please be sure to include the title and the location of the position for which you are applying.

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