Onsite Inventory Planner - Mining Equipment Forecasting

Komatsu; Elko (NV); On-site; USD 79,000 - 98,000; Full time

Benefits offered by this job

Health benefits

401k benefits

Paid time off

Assistance programs

Disability benefits

Life insurance

Learning & development

Job summary

Komatsu seeks an analytical Inventory Planner to support a major mining equipment operation at Elko, NV or Salt Lake City, UT. This onsite role ensures the right parts are available where and when needed to maximize equipment uptime and customer service.

You will forecast demand, manage inventory across SAP S/4HANA and related systems, and collaborate with operations, account managers, warehouse teams, and leadership to drive continuous improvement through data analytics.

Qualifications

• Four-year degree in Industrial Engineering, Supply Chain, Business Administration, Materials Management, Inventory Control, or Purchasing is preferred.
• 5–10 years of experience in inventory planning or related fields with ERP planning systems, analytics platforms, and BI tools.
• Strong analytical skills, plus excellent interpersonal communication and organization skills.
• Proficiency in MS Office applications is required.
• Working knowledge of CDK/SAP and Warehouse Management is preferred.
• APICS Certification is a plus.

Responsibilities

• Develop, maintain, and execute inventory plans for mining equipment product lines.
• Manage thousands of unique parts/materials across assigned product categories.
• Maintain regional inventory forecasts and demand plans.
• Analyze large datasets to identify trends, forecast future demand, and optimize inventory levels.
• Collaborate with operations, rebuild teams, commercial teams, warehouse personnel, and leadership to align inventory strategies with customer demand.
• Monitor inventory performance and make recommendations to improve stocking strategies and customer service levels.
• Utilize ERP systems to manage planning activities, purchasing requirements, and replenishment processes.
• Partner with business analytics teams to develop and validate inventory and forecasting reports.
• Contribute to lifecycle demand planning, rebuild planning, major component planning, new product introductions, and other strategic inventory initiatives.
• Develop and execute inventory planning strategies that maximize customer service, inventory availability, and working capital performance across SAP, S/4HANA, CTS, CDK, and regional distribution operations.
• Leverage historical demand, fleet population, customer projects, equipment utilization, lead times, and predictive analytics to develop inventory stocking strategies that improve inventory health, fill rate, and operational performance.
• Support enterprise planning initiatives including: Inventory Planning, CEP, Major Component Planning, Used Equipment, Strategic Projects
• Utilize advanced analytics, Power BI, Palantir, and the Supply Chain Control Tower to identify inventory risks, optimize planning decisions, improve reporting visibility, and drive continuous improvement initiatives.
• Serve as a subject matter expert supporting inventory planning within SAP S/4HANA, CDK, CTS, Planning Model, and the Supply Chain Control Tower.
• Support standardization of enterprise planning processes, planning governance, master data integrity, and inventory planning methodologies across Komatsu North America.

Skills

Analytical skills

Interpersonal communication

MS Office

ERP planning systems

Data analysis

SAP/CDK

Education

Four-year degree in Industrial Engineering/Supply Chain/etc.

Tools

CDK/SAP

Job description

Komatsu seeks an analytical Inventory Planner to support a major mining equipment operation at Elko, NV or Salt Lake City, UT. This onsite role ensures the right parts are available where and when needed to maximize equipment uptime and customer service.

You will forecast demand, manage inventory across SAP S/4HANA and related systems, and collaborate with operations, account managers, warehouse teams, and leadership to drive continuous improvement through data analytics.