Condition Monitoring Advisor - Reliability

Caterpillar · Industrial · Belo Horizonte, Minas Gerais, Sao Paulo, São Paulo

This role focuses on monitoring the health of Caterpillar machines using various data sources (fluid analysis, telematics, inspections) and providing recommendations to dealers and customers to maximize availability and minimize downtime. It involves data analysis, reporting, and customer engagement, leveraging existing software tools and supporting the development of new analytics.

What you'd actually do

  1. Monitor Machine Health: Oversee the condition of 100- 150 Caterpillar machines using the five elements of condition monitoring: SOS fluid analysis, product link/VIMS data, inspection reports, backlog management, and site conditions.
  2. Analyze & Correlate Data: Aggregate and correlate data from all five condition monitoring elements to identify trends, detect issues early, and prioritize actions using enabling software tools and systems.
  3. Provide Expert Recommendations: Deliver actionable equipment recommendations by way of purpose-built Caterpillar software tools to Caterpillar dealers and customers to enhance machine health, maximize uptime, and increase customer value.
  4. Reporting & Communication: Send Condition Monitoring recommendations using custom software tools and verbal updates to customers and dealers. Provide clear, data-driven insights and recommendations.
  5. Customer & Dealer Engagement: Participate or even facilitate regular meetings with customers, Caterpillar dealers, product groups to review equipment performance and contribute to action plans.

Skills

Required

  • Hands-on experience in Product Support or Engineering roles
  • Experience in identifying and troubleshooting machine issues
  • Able to collect and organize data, review results

Nice to have

  • Familiarity with Caterpillar’s products and processes
  • Knowledge of engines, power train, hydraulic systems, Product Link™, VIMS, inspection process, equipment lifecycle planning, S•O•SSM Services, and the Service Information System (SISweb)
  • Awareness in predictive maintenance, reliability engineering, and collaboration with peers