Glencore Australia · Mount Isa City, Australia ·
The Engineering Data Analyst will support reliability and maintenance teams at a mining complex by performing statistical analysis on operational data to improve asset performance. The role involves identifying failure trends, ensuring data quality, and creating visualizations to drive business decisions.
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Linkforce Engineering · Perth, Australia
Linkforce Engineering · Perth, Australia
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 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
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.
The ideal candidate will have a strong background in statistics, mathematics or quantitative analysis and the ability to apply analytical thinking to operational and engineering challenges. Experience working with large datasets, statistical modelling, data quality improvement and business intelligence tools is highly regarded. You will possess strong problem-solving skills, a critical mindset and the ability to influence stakeholders to improve data integrity and business outcomes.
At Glencore, our people are the foundation of our success, and we are committed to creating a workplace where our values guide everything we do. Safety is our first priority - we never compromise on it. We act with Integrity, choosing to do what's right even when it's challenging. We take Responsibility for our actions and strive to make a positive impact. Through Openness, we communicate honestly and encourage meaningful dialogue. We embrace Simplicity, focusing on what truly matters and avoiding unnecessary complexity. And with Entrepreneurialism, we welcome new ideas and continuously seek better, safer and more efficient ways of working.
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