Engineering Data Analyst - Reliability and Asset Performance - Glencore

• Turn maintenance mysteries into engineering victories
• Mount Isa, Queensland, Australia
• Love data? Great. Love statistics? We need to talk.

Job ID100655Closing date28/09/2026Last Updated27/08/2026

Engineering Data Analyst – Reliability and Asset Performance

MIM Maintenance Division, Reliability Mount Isa, Queensland, Australia Ref. No. 100655

We are seeking an Engineering Data Analyst to support our Reliability Engineering and Maintenance functions through advanced statistical analysis and improvement of engineering data quality. This role will be working a 5/2, 4/3 roster on a 9-hour day.

Mount Isa Mines

Mount Isa Mines is one of the world's largest mining complexes. We operate two mining and processing streams, copper and zinc-lead-silver, to deliver natural resources of enduring value in modern society. At Mount Isa Mines, we believe in our people. We cultivate an environment of professionalism, ownership, and innovation while prioritizing safety and well-being. Our employee rewards program, market-leading superannuation, and commitment to professional development set us apart. Learn more about Mount Isa Mines at www.mountisamines.com.au

Your Benefits:

• Competitive remuneration with 13% superannuation (Staff role)
• Access to Glencore Rewards including health insurance discounts, retail offers, and salary sacrifice options
• Employee Referral, Recognition & Reward programs
• Leadership development programs, Ambassador Programs and unrivalled career pathways
• The lifestyle advantage of a residential role in Mount Isa

About the role

We are seeking an analytical and detail-oriented Engineering Data Analyst to support our Reliability Engineering and Maintenance teams through advanced statistical analysis and data‑driven decision making. This role focuses on improving equipment reliability, asset performance and engineering data quality by identifying trends, failure patterns and opportunities for operational improvement.

Working closely with Maintenance, Engineering, Planning and Operations teams, you will transform complex maintenance and operational data into meaningful insights that support asset management strategies and improve business performance. This is an excellent opportunity for a statistically minded professional who enjoys solving real‑world operational challenges and influencing positive change through data.

Key responsibilities:

• statistical techniques to maintenance, reliability and operational datasets to identify trends, anomalies and improvement opportunities.
• Analyse equipment performance, downtime, failures and maintenance history to support reliability and asset management decisions.
• Investigate data quality issues, including missing, incomplete or inaccurate work order, failure and downtime information.