Supply Chain Modeler

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The Supply Chain Modeler leverages data analysis, optimization, simulation, and analytical modeling techniques to support supply chain decision-making across transportation, inventory, distribution, and network operations. This role partners with cross-functional stakeholders to evaluate business opportunities, develop analytical insights, and recommend solutions that improve service, cost, and operational performance. The Supply Chain Modeler independently leads modeling initiatives, translates complex data into actionable recommendations, and contributes to the advancement of analytical capabilities across the Supply Chain organization. Through a combination of technical expertise and business partnership, this role helps drive data-informed decisions that enhance supply chain performance and support business objectives.

•    Develop, maintain, and enhance analytical models that support transportation, inventory, network design, and operational decision-making.
•    Perform scenario analysis to evaluate the cost, service, and operational impacts of potential supply chain changes.
•    Apply optimization, simulation, forecasting, and statistical analysis techniques to solve business problems and support informed decision-making.
•    Validate model assumptions, inputs, and outputs to ensure analytical accuracy and reliability.
•    Document modeling methodologies, business assumptions, and analytical findings.

Data Analysis & Reporting
•    Collect, transform, and analyze large datasets from multiple systems to support modeling initiatives.
•    Develop dashboards, reports, and visualizations that communicate analytical findings and recommendations.
•    Identify trends, risks, and opportunities through exploratory and quantitative analysis.
•    Present analytical results to stakeholders and support the implementation of recommended solutions.

Project Execution
•    Manage individual modeling workstreams and analytical projects from data collection through recommendation development.
•    Partners with cross-functional stakeholders to gather requirements, validate assumptions, and ensure analytical findings and recommendations align with business needs.
•    Support business case development for supply chain improvement initiatives.
•    Contribute to continuous improvement efforts through process automation and analytical innovation.
•    Support stakeholders in evaluating and implementing approved recommendations

Technical Development
•    Expand knowledge of supply chain modeling methodologies, optimization techniques, and analytical tools.
•    Evaluate new analytical approaches and technologies that improve modeling effectiveness and efficiency.
•    Maintain awareness of emerging trends and best practices in supply chain analytics.
 

 •    Bachelor's degree in Supply Chain Management, Industrial Engineering, Operations Research, Analytics, Mathematics, Statistics, Economics, Computer Science, or related field.
•    3-5 years of experience in supply chain analytics, operations research, logistics analysis, engineering, consulting, or related analytical field.
•    Understanding of transportation, distribution, inventory management, forecasting, and network design concepts.
•    Exposure to predictive analytics and statistical modeling techniques.
•    Proficiency in SQL for data extraction, transformation, and analysis.
•    Experience using Python, R, or similar analytical programming languages to support data analysis, automation, and modeling initiatives.
•    Strong analytical and problem-solving skills with the ability to work through complex business challenges.
•    Experience communicating analytical findings to both technical and non-technical audiences.
•    Experience leveraging analytical and AI-assisted tools to improve efficiency and automate routine processes.
•    Ability to manage multiple priorities and projects in a fast-paced environment.
•    Familiarity with tools such as GAINS, Gurobi, Supply Chain Guru, or similar analytical platforms preferred.
•    Experience with optimization, simulation, or network modeling methodologies preferred.
•    Experience developing data visualizations using MicroStrategy, Power BI, or related tools is preferred.

Education

 •    Bachelor's degree in Operations Research, Supply Chain, Industrial Engineering, Computer Science, Business Analytics, or a related quantitative discipline required.  
•    Master's degree preferred.
 

• Drives Results
• Action Oriented
• Collaborates
• Decision Making
• Nimble Learning