Fleet Analyst - Mining Operations
Join PT Tambang Sejahtera Bangka, a leading mining company in Bangka Belitung, as a Fleet Analyst. In this critical role, you will optimize our heavy equipment fleet to maximize efficiency, reduce downtime, and ensure cost-effective operations in our tin mining projects. With a strong focus on data-driven decision making, you will leverage advanced analytics tools to monitor and analyze fleet performance, ultimately driving operational excellence in our mining operations.
Based in Pangkalpinang, you will work closely with our fleet management team, engineers, and maintenance personnel to implement strategies that enhance equipment utilization and reliability. This role offers a unique opportunity to contribute to the success of a dynamic and innovative mining company, while enjoying competitive remuneration and a stimulating work environment.
๐ Tanggung Jawab Pekerjaan
- Monitor and analyze fleet performance data using advanced analytics tools such as Fleet Management System (FMS) and Geographic Information System (GIS).
- Develop and implement strategies to optimize equipment utilization, reduce downtime, and improve overall fleet efficiency.
- Conduct regular maintenance scheduling and predictive maintenance to maximize equipment lifespan and minimize unplanned downtime.
- Collaborate with fleet management and maintenance teams to ensure timely and effective resolution of equipment issues.
- Provide actionable insights and recommendations to management to support data-driven decision making.
- Stay updated with industry best practices and emerging technologies to continuously improve fleet management processes.
- Ensure compliance with safety regulations and industry standards for fleet operations.
- Support the development and implementation of fleet management policies and procedures.
๐ Kualifikasi & Syarat
- Bachelor's degree in Engineering, Industrial Engineering, or related field.
- Minimum of 3 years of experience in fleet management or a similar role within the mining industry.
- Strong analytical and problem-solving skills.
- Proficiency in advanced analytics tools such as Fleet Management System (FMS), Geographic Information System (GIS), and data visualization software.
- Knowledge of maintenance management systems and predictive maintenance techniques.
- Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.
- Ability to work in a fast-paced, high-pressure environment.
- Valid driver's license and experience operating heavy equipment (preferred but not mandatory).
๐ ๏ธ Keahlian
Kirim lamaran sekarang sebelum batas waktu.๐ Lamar Sekarang