Philippine Spring Water Resources, Inc.
FLEET TECHNOLOGY & ANALYTICS ADMINISTRATOR
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Cebu City, 6000 Cebu, Philippines
Work mode:
Onsite
Published on:
10 September 2026
What they need
About the role
This job focuses both on keeping the tracking tools running and using such tools to help the company cut fuel and repair costs, track GPS and delivery data, and making sure trucks move goods safely and on time across company manufacturing plants, Sales Branches and Customers nationwide.
Key responsibilities
- Read GPS and telematics data to check truck routes, idle time, and speed. Clean up raw tracking data to build driver reports on engine idling, speeding, and sudden braking. Pull data from your fleet system and organize it into clean spreadsheets or dashboard templates for logistics heads.
- Flag sudden drops in kilometers-per-liter (km/L) metrics so management can check for fuel theft or mechanical engine issues.
- Monitor fuel use, fleet card spending, and repair bills for every plant and sales branch.
- Make daily, weekly, and monthly scorecards for on-time delivery and truck health.
- Work with local warehouse and sales teams to fix delivery delays and high transport costs.
- Track vehicle mileage to schedule parts replacement and servicing before breakdowns happen.
- Open support tickets with your telematics suppliers and telecom providers to swap out broken parts or fix SIM card connection issues.
- Remotely help local plant mechanics check wiring or reset GPS tracking units when trucks go offline.
- Keep the software updated by adding new drivers, setting up vehicle digital profiles, and drawing delivery geofences.
Qualifications:
- Bachelor’s degree in Supply Chain Management, Logistics, Engineering, Data Analytics, Business Administration, or a related field.
- 3 to 4 years working in transport data analysis, fleet operations, or supply chain.
- Expert in MS Excel; experience with GPS software, SAP, or data tools like Power BI.
- Able to explain complex data clearly to branch managers and company bosses
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