Main Responsibilities:
- Maintain the Master Equipment List for the Group’s machinery and assets.
- Regularly update asset information, including specifications, location, and operational status.
- Ensure data accuracy and consistency across all systems and reports.
Data Management & Integrity:
- Track and record all repair and maintenance history for each asset.
- Develop and maintain a "Machine Health" scoring system based on downtime, repair frequency, and cost.
- Monitor key performance indicators (KPIs) such as Mean Time Between Failures (MTBF) and Total Cost of Ownership (TCO).
Performance & Health Monitoring:
- Extract, clean, and analyse procurement and repair data from our ERP system.
- Create clear, concise, and visually effective reports and dashboards (using Excel and other tools) for Workshop Managers and Management.
- Provide monthly analysis on fleet performance, highlighting high-cost assets, ageing equipment, and maintenance trends.
Reporting & Analysis:
- Provide data-driven insights to support critical business decisions on equipment disposal, sale, or trade-in.
- Assist workshop managers with administrative and reporting tasks related to fleet data.
- Act as the subject matter expert for all asset-related data.
Management Support:
- Provide data-driven insights to support critical business decisions on equipment disposal, sale, or trade-in.
- Assist workshop managers with administrative and reporting tasks related to fleet data.
- Act as the subject matter expert for all asset-related data.
Requirements:
- Degree/Diploma in Business/IT/Engineering related disciplines from a recognised University/Polytechnic or Vocational Instituition
- Minimum 3 years’ experiencein data analysis, asset management, or fleet administration, preferable in an industry with heavy machinery e.g. construction, mining, logistics, manufacturing etc.
- Has experience working with ERP systems for data extraction and reporting is a plus to have.
- Familiar with asset management principles and Total Cost of Ownership (TCO) concepts.
- A self-starter with the ability to work independently and takes initiative.
- Excellent written and verbal communication skills.
- Proficient in Microsoft Excel (including PivotTables, VLOOKUP/XLOOKUP, Charts, and complex formulas).
- Strong numerical and analytical skills with attention to details.