Fleet Analyst, P&S: Maintenance Cost & Lifecycle

Sandvik; Smyrna (GA); Hybrid; USD 115,000 - 120,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan

Professional development

Job summary

Sandvik Mining in the United States seeks a Fleet Analyst, Parts & Services, to join a hybrid team across Smyrna, GA, Tucson, AZ, or Denver, CO. The role focuses on developing lifecycle cost models for a regional fleet, supporting tender submissions, and delivering fleet analytics to drive asset optimization.

Collaborate with Aftermarket Contracts, Lifecycle Support Services, and Sales to maintain accurate data, forecast parts usage, and build predictive operating costs with Power BI and Excel.

Qualifications

• Requires degree or relevant qualification in Engineering or mining-based trade; 5+ years in estimation or project management.
• Familiarity with CMMS, data analysis, reporting, and lifecycle cost modeling is essential.

Responsibilities

• Prepare Equipment tenders;
• Develop maintenance strategy plans and lifecycle cost models;
• Review and improve fleet cost efficiency;
• Create and manage component forecasts and spare part plans;
• Support tender submissions and asset agreements;
• Develop and manage small projects;
• Provide training and support on fleet data tools.

Skills

CMMS

Data analysis

Power BI

Advanced Excel

Risk management

Project estimation

Education

Engineering degree or equivalent

Direct Mining mechanical trade qualification

Tools

Power BI

CMMS

MS Office

Excel

Job description

Sandvik Mining in the United States seeks a Fleet Analyst, Parts & Services, to join a hybrid team across Smyrna, GA, Tucson, AZ, or Denver, CO. The role focuses on developing lifecycle cost models for a regional fleet, supporting tender submissions, and delivering fleet analytics to drive asset optimization.

Collaborate with Aftermarket Contracts, Lifecycle Support Services, and Sales to maintain accurate data, forecast parts usage, and build predictive operating costs with Power BI and Excel.