• Responsible for developing and maintaining life cycle and downtime data models to support the reliability and performance of mining assets.
• This role focuses on creating predictive maintenance strategies, analysing lifecycle costs, developing asset life plans and managing annual master operating schedule.
• The role plays a critical part in ensuring the reliability and efficiency of equipment, with a focus on cost control and service strategy management.

Data Analysis and Modelling:

• Maintain PowerBI data models for reliability analysis, focusing on predicting equipment performance and identifying potential failures.

Service Strategy and Scheduling:

• Maintain life cycle and defect elimination data and support the closure of any identified defects.

Reporting and Compliance:

• Prepare detailed reports on equipment performance, service records, and outstanding defects elimination action for senior management and other stakeholders.

Continuous Improvement:

• Participate in continuous improvement initiatives, contributing to the development of more efficient maintenance strategies.
• Work closely with the Maintenance team to implement data-driven improvements and optimize equipment performance.

Qualifications:

Formal qualifications

• NQF6 National Diploma or Bachelor’s degree in Data Science or Engineering.
• Anglo Planner qualification (advantageous)

Experience

• 3-5 years of experience in reliability engineering, data analysis, engineering, or maintenance planning.
• Working understanding of data analysis tools such as PowerBI, SAP PM, and Microsoft Office Suit
• Underground trackless mobile experience or Processing plant experience