Condition Monitoring Analyst

Finning

• $80K — $95K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Heavy Duty Mechanic certification, Mechanical Engineering, or similar technical education
  • 5+ years of mechanical, maintenance, or equipment support experience
  • Strong understanding of Caterpillar equipment and systems in Construction and Power Systems
  • Knowledge of engines, powertrain, hydraulics, electronics, telematics, and diagnostics
  • Experience in interpreting equipment health data and identifying root causes of failures
  • Strong analytical and problem-solving skills
  • Excellent communication skills for diverse audiences
  • Self-motivated and organized, able to work independently

Responsibilities

  • Analyze equipment data to identify failure trends and optimization opportunities
  • Interpret fluid analysis, inspections, telematics, and machine health information
  • Develop and communicate recommendations to prevent failures and maximize availability
  • Partner with customers and technical teams for timely action on recommendations
  • Monitor customer fleets to improve maintenance planning and performance
  • Follow up on recommendations to verify resolution and capture improvement opportunities
  • Support customer reliability strategies through proactive maintenance and lifecycle planning
  • Participate in projects to advance condition monitoring tools and digital capabilities

Benefits

  • Opportunity to work with advanced condition monitoring technologies
  • Engagement in projects that enhance digital capabilities
  • Supportive work environment focused on continuous improvement
  • Collaboration with diverse teams across industries
  • Potential for professional growth in a leading company
Full Job Description
Number of Openings:
1

Worker Type:
Permanent

Position Overview:
Join Finning as a Condition Monitoring Analyst (CMA) and play a critical role in supporting customers across the Construction and Power Systems industries. Using advanced condition monitoring technologies, telematics, fluid analysis, inspections, and equipment data, you'll help customers reduce downtime, improve reliability, and lower total cost of ownership.

This is an excellent opportunity for experienced equipment professionals looking to combine their mechanical expertise with data-driven decision making and emerging technologies.

Job Description:
  • Analyze equipment data to identify failure trends, risks, and optimization opportunities
  • Interpret fluid analysis, inspections, telematics, repair history, and machine health information
  • Develop and communicate recommendations that prevent failures and maximize equipment availability
  • Partner with customers, branches, and technical teams to ensure timely action on recommendations
  • Monitor customer fleets and provide insights that improve maintenance planning and fleet performance
  • Follow up on recommendations to verify resolution and capture continuous improvement opportunities
  • Support customer reliability strategies through proactive maintenance and lifecycle planning
  • Participate in projects that advance Finning's condition monitoring tools, processes, and digital capabilities


Qualifications:
  • Heavy Duty Mechanic certification, Mechanical Engineering, or comparable technical education
  • 5+ years of mechanical, maintenance, or equipment support experience
  • Strong understanding of Caterpillar equipment and systems, particularly within Construction and Power Systems applications
  • Working knowledge of engines, powertrain, hydraulics, electronics, telematics, and equipment diagnostics
  • Experience interpreting equipment health data and identifying root causes of potential failures
  • Strong analytical and problem-solving skills with the ability to prioritize critical issues
  • Excellent communication skills with the ability to explain technical findings to both technical and non-technical audiences
  • Self-motivated, organized, and capable of working independently in a fast-paced environment


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