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

Note: The job is a remote job and is open to candidates in USA. Grainger is hiring a Manager, Inventory Optimization & Advanced Analytics to improve inventory planning for its KeepStock managed inventory solution. The role develops optimization models, planning strategies, and analytics processes, and partners with Operations, Engineering, Product, Finance, and Supply Chain teams to support inventory-positioning decisions and operational improvements.

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

Skills

• Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position
• 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
• Master's Degree or equivalent graduate degree in Industrial Engineering, Operations Research, Statistics, Mathematics, or a related quantitative field preferred

Benefits

• Incentive target of up to 15%, based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program.
• Medical, dental, vision, and life insurance plans with coverage starting on day one of employment.
• 6 free sessions each year with a licensed therapist to support emotional wellbeing.
• 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date).
• 6 company holidays per year.
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
• Employee discounts.
• Tuition reimbursement.
• Student loan refinancing.
• Free access to financial counseling, education, and tools.
• Maternity support programs and nursing benefits.
• Up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.
• Preferably hybrid, with 50% of time spent onsite at the Lake Forest, IL or Chicago, IL offices; remote candidates may be considered.

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