has a keen interest in import logistics. • Data capturing related to pre-costing, stock-counts, and any
timely collection of vehicle, trip, and fuel usage data. He/she administers the 22 Chauffeurs (grade 3) Supervisor's absence, to the Motor Pool Maintenance Clerk. Manages daily Motor Pool operations to ensure quality quality service delivery and timely and accurate data collection/record keeping. Acting Motor Pool Supervisor Information System (FMIS) and maintains data in ILMS not captured via FMIS. Informs Motor Pool Supervisor and insurance claims. Compile a weekly report with data collected from the vehicle tracker system on driver
timely collection of vehicle, trip, and fuel usage data. He/she administers the 22 Chauffeurs (grade 3) Supervisor's absence, to the Motor Pool Maintenance Clerk. Manages daily Motor Pool operations to ensure quality quality service delivery and timely and accurate data collection/record keeping. Acting Motor Pool Supervisor Information System (FMIS) and maintains data in ILMS not captured via FMIS. Informs Motor Pool Supervisor and insurance claims. Compile a weekly report with data collected from the vehicle tracker system on driver
Prepare reports and correspondence, typing, data capturing and CRM Maintaining client relationship, liaison
meetings and conference venues and be the point of contact for all delegates to manage attendance registers ensure efficient and effective operational support Data Entry: Inputting information into databases or computer accurately and efficiently Data Verification: Ensuring the accuracy and completeness of data by cross-checking organized and secure records of data for easy retrieval and reference Data Cleaning: Identifying and correcting correcting errors or inconsistencies in the data to maintain data quality Database Management: Managing and
meetings and conference venues and be the point of contact for all delegates to manage attendance registers ensure efficient and effective operational support Data Entry: Inputting information into databases or computer accurately and efficiently Data Verification: Ensuring the accuracy and completeness of data by cross-checking organized and secure records of data for easy retrieval and reference Data Cleaning: Identifying and correcting correcting errors or inconsistencies in the data to maintain data quality Database Management: Managing and