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Analyze EDI and operational datasets to identify trends, variances, and key performance indicators related to manufacturing and supply chain operations. Apply mathematical, statistical, and financial analysis methods to evaluate cost structures, pricing data, and operational performance. Develop quantitative models to forecast demand, assess financial impact of operational changes, and support budgeting and cost optimization initiatives. Design, configure, and maintain EDI data integration processes. Monitor operational and financial performance metrics, identify risks and inefficiencies, and recommend improvements to enhance cost control and profitability. Conduct variance analysis and support financial reporting by reconciling transactional data and identifying discrepancies affecting cost and revenue accuracy. Collaborate with cross functional teams, including finance, IT, and supply chain, to translate quantitative and financial insights into actionable business strategies. Req: Master’s Degree in Mathematical Finance, Applied Mathematic or Data Science or related. 40hr/wk, 9am-5pm.