Senior Business Analyst – Mining Solutions

2 weeks ago

Sydney, New South Wales, Australia beBeeSolution Full time $110,000 - $120,000

Unlock your potential as a Senior Solution Consultant with a unique opportunity to own the technical win in sales cycles.

This senior role requires expertise in condition monitoring, reliability engineering, and predictive maintenance analytics within mining. The successful candidate will have hands-on experience analyzing vibration, lubrication, thermography or comparable data on crushers, mills, conveyors, and mobile fleets (Caterpillar, Komatsu, Liebherr, draglines, dozers).

  • Lead discovery sessions with stakeholders to define use cases, success metrics, and data readiness.
  • Audit existing sensors and instrumentation and recommend additions or upgrades where needed.
  • Coordinate proof-of-value projects and ensure data ingestion and signal-quality validation.
  • Translate findings into clear business impact for technicians, engineers, and executives.
  • Build ROI briefs and partner with Account Executives on proposals and commercial negotiations.
  • Produce comprehensive technical hand-off packages for implementation and customer-success teams.

Requirements:

  • At least 5 years of experience in condition monitoring, reliability engineering, or predictive-maintenance analytics within mining.
  • Hands-on experience analyzing vibration, lubrication, thermography or comparable data on crushers, mills, conveyors, and mobile fleets.
  • Practical knowledge of sensor selection, installation, and certification.
  • Bachelor's degree in Mechanical, Electrical, Instrumentation, or Mining Engineering (or equivalent industry experience).
  • Familiarity with industrial analytics suites such as AVEVA Predictive Analytics, Aspen Mtell, OSIsoft PI, GE APM, or similar.

Benefits:

  • Experience deploying machine-learning models or digital twins in heavy-industry environments.
  • Knowledge of ISO 55000, reliability-centred maintenance, and condition-based maintenance programmes.
  • Exposure to mobile-fleet health systems.

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