Manager, Inventory Optimization & Advanced Analytics Job Details | Grainger Businesses

Grainger is a broad-line distributor serving customers with maintenance, repair, and operating products and value-added solutions. The Manager, Inventory Optimization & Advanced Analytics will develop inventory-planning models, strategies, and analytical processes while partnering with cross-functional teams to improve operational efficiency, reduce costs, and optimize inventory positioning.

Responsibilities:

• Lead and develop capabilities in data visualization, advanced analytics, predictive forecasting, and related inventory-planning disciplines
• Develop models, planning strategies, and analytical processes that improve Grainger's overall inventory planning and support decisions regarding where, when, and how much inventory is positioned across customer locations
• Partner with Supply Chain teams to identify and execute analytics initiatives that improve operational efficiency, reduce costs, and automate tools or processes
• Deliver analyses and recommendations that support the strategic positioning of customer inventory in future
• Lead the monitoring and documentation of production processes and analytical models, identify errors or inconsistencies in outputs, and establish processes to address identified issues
• Prioritize team initiatives using Grainger Edge principles and a continuous-improvement approach to identify and implement improvements to inventory-planning processes, analytical tools, and team practices

Requirements:

• Bachelor's Degree in Supply Chain, Industrial Engineering, Operations Research, Statistics, Mathematics, or a related field required
• 5+ years of experience in a related field required
• Knowledge of SQL and R or Python, including applied experience using programming and analytical tools to develop solutions from large datasets and rapidly learn new tools or languages
• Experience applying at least two of the following disciplines to business problems: forecasting, optimization, machine learning, or simulation
• Experience leading analytical work through problem identification, solution development, implementation, monitoring, and continuous improvement while working through complex or ambiguous business problems
• Experience communicating analytical findings, developing cross-functional partnerships, and influencing stakeholders without direct authority to implement solutions that support business objectives
• Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position
• Master's Degree or equivalent graduate degree in Industrial Engineering, Operations Research, Statistics, Mathematics, or a related quantitative field preferred