ENGINEER – FLEET MANAGEMENT SYSTEM ANALYSES (MIN 2410045)

This position is located at the Martabe Site within the Mining Department and reports directly to the Senior Engineer – Continuous Improvement Senior Engineer – Continuous Improvement.

Responsibilities of the Engineer – Fleet Management System Analysis include:

• Managing daily mine production information and reporting systems during each shift.
• Maintaining and updating the Fleet Management System in accordance with mining progress.
• Dispatching, monitoring, and supervising production activities to ensure an effective Fleet Management System and coordination with operations to meet and enhance production and productivity targets.
• Providing updated baselines for planning and operational guidelines while identifying issues and proposing ideas to optimize mining operations.
• Analyzing and providing data-driven insights for any failures to comply with operational targets and dispatch instructions, reporting all findings to the operations team to develop appropriate data-driven solutions.
• Upholding operational quality to ensure the implementation of Good Mining Practices (GMP) as part of operational excellence, using the Fleet Management System as a fundamental principle.
• Collaborating with other stakeholders in the development of the Fleet Management System’s High Precision implementation

Candidates for this position are expected to meet the following qualifications and criteria:

1. Bachelor’s Degree in Mining Engineering, Informatics Engineering/Computer Science, Telecommunications Engineering or Information Systems.
2. A minimum of 3 years of experience in the related mining industry.
3. Must hold a minimum of a POP certificate.
4. Strong verbal and written communication skills in English.
5. Experience in handling and a solid understanding of mining business processes.
6. Proficient in reporting and technical writing.
7. Comprehensive knowledge of mining operations, preferably in open-pit hard rock mines; familiarity with drilling, blasting, and project work is advantageous.
8. Ability to analyse data and implement data-driven solutions.
9. Knowledge of SQL and Power BI applications is preferred.
10. Familiarity with equipment specifications and capabilities.
11. The individual must demonstrate excellent oral and written communication skills, the ability to collaborate with all levels of the organization, and a strong commitment to safe and socially responsible practices. Proficiency in Microsoft Office programs is required.