Reliability Data Analyst: Asset Performance Insights

Glencore International AG; Mount Isa City; Hybrid; AUD 90,000 - 130,000; Full time

Benefits offered by this job

13% superannuation

Health insurance discounts

Employee referral program

Leadership development programs

Residential role in Mount Isa

Job summary

Glencore Mount Isa Mines is seeking an Engineering Data Analyst to support Reliability Engineering and Maintenance through advanced statistical analysis and data-driven decision making. The role focuses on improving equipment reliability and asset performance by identifying trends and opportunities for operational improvement.

You will transform complex maintenance data into insights that support asset management strategies, working with Maintenance, Engineering, Planning and Operations to drive

Qualifications

• Strong background in statistics, mathematics or quantitative analysis.
• Experience with large datasets, statistical modelling, data quality improvement, and BI tools.
• Experience with SQL and Power BI.

Responsibilities

• Apply statistical techniques to maintenance, reliability and operations data to identify trends and improvements.
• Analyse equipment performance, downtime, failures and maintenance history for reliability decisions.
• Investigate data quality issues, including missing or inaccurate data.
• Collaborate with Maintenance, Engineering, Planning and Operations to improve data capture and standards.
• Develop analytical reports, visualisations and insights for business recommendations.
• Support continuous improvement to enhance asset reliability and performance.

Skills

Statistical analysis

Problem solving

Stakeholder engagement

Education

Statistics / Applied Mathematics / Data Science degree

Postgraduate qualifications advantageous

Tools

Python

R

SQL

Power BI

JMP

Minitab

Job description

Glencore Mount Isa Mines is seeking an Engineering Data Analyst to support Reliability Engineering and Maintenance through advanced statistical analysis and data-driven decision making. The role focuses on improving equipment reliability and asset performance by identifying trends and opportunities for operational improvement.

You will transform complex maintenance data into insights that support asset management strategies, working with Maintenance, Engineering, Planning and Operations to drive