Job Details
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Job Description
Main Responsibility:
Service:
- Measuring Machines’ vibration of operating equipment of Customers.
- Make the proper analysis of the Vibrations’ reading on a daily bases.
- Make Balancing & alignment jobs with adequate machinery whenever required.
- Manage workload of data collection.
- Satisfy Customers’ needs in balancing and alignment jobs.
- Satisfy Schedule of 24 hours response required by Customer.
- Be ready for turnaround service whenever needed by Customer.
Reporting, Meeting and Keeping Data:
- Issue regular Technical reports on the formats required by customer.
- Issue regular achieved tasks report as required by your senior.
- Manage and attend the regular meetings with customers.
- Issue urgent case reports in a timely manner.
- Create, update, manage and maintain Technical Database related to Customers – RUBY System (Plants, Machinery and related services Log).
Coaching & Mentoring:
- Train data collector to achieve their tasks.
- Develop data collector and enhance his level of accuracy through close supervision.
- Manage work load of data collector to ensure his full involvement and commitment in the assigned tasks.
- Observe the potential area of development in the Data Collector, enhance and develop them accordingly.
Job Requirements
- Bachelor’s Degree in Engineering (Mechanic Power - Aviation - Design and Production - Mechatronics).
- 5 - 7 years’ Experience in a related area in Predictive Maintenance, Vibration Analysis and Condition Monitoring (Mandatory).
- Holding CAT II is a must, CAT III is an advantage.
- Strong Selling Skills.
- Ability to be a self-starter, self-motivated and a team player.
- Strong ability to set priorities.
- Detailed oriented, and ability to work under tight time frames on multiple tasks.
- Outstanding ability to manage and analyzes data to conduct meaningful analysis and reports.
- Ability to identify, analyze and solve problems.
- Must have excellent Windows/Microsoft Office (Applications) proficiency.
- Good analysis and interpretation in decision making.
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