Global Fleet Data Analyst: KPI Insights & Automation

World Food Programme

Dubai

On-site

AED 240,000 - 360,000

Full time

14 days+
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Job summary

The World Food Programme in Dubai seeks a Data Analyst to support the Fleet Management System (FMS) data platform. You will analyze data, prepare KPI reports, and deliver on- and off-site user support to global offices, contributing to reliable fleet insights.

Candidates should have an advanced degree in business, engineering, data science or related fields, at least three years’ relevant experience, and strong MS Office skills; experience with fleet management systems and data governance is a

Qualifications

  • Minimum three years of relevant professional experience in data management, analytics and system design.
  • Experience administering a fleet management system is preferred.
  • Strong analytical ability to compile, maintain and analyze data.
  • Proficiency in MS Office (Word, Excel, PowerPoint).
  • Excellent project management, communication and organizational skills.
  • Ability to work in a multicultural team environment.

Responsibilities

  • Analyze FMS data for consistency, completeness and correctness and ensure errors are corrected by COs in a timely manner.
  • Review processes and propose measures for improved FMS data quality.
  • Reconcile data from FMS, GPS, and other sources to produce timely and correct reports.
  • Analyze and prepare KPI data reports for management and client countries on a regular basis.
  • Lead automation of processes using formulas and SQL in Excel and other applications.
  • Provide on- and off-site FMS training for users globally.
  • Perform unit and integration testing of changes to ensure compliance with specs.

Skills

Data management
Business analytics
System design
SQL in Excel

Education

Advanced University degree in business / engineering / data science / supply chain

Tools

MS Office

Job description

The World Food Programme in Dubai seeks a Data Analyst to support the Fleet Management System (FMS) data platform. You will analyze data, prepare KPI reports, and deliver on- and off-site user support to global offices, contributing to reliable fleet insights.

Candidates should have an advanced degree in business, engineering, data science or related fields, at least three years’ relevant experience, and strong MS Office skills; experience with fleet management systems and data governance is a

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