Trans Planning Data Analyst, UAE National, Supply Chain Transportation Planning, Amazon

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Job Description

The Trans Planning Data Analyst, UAE National position at Amazon requires the employee to handle transportation capacity planning operations while monitoring operational dashboards and executing real-time system modifications under strict service level agreements. The position demands advanced analytical abilities together with strong communication skills and effective problem-solving techniques to handle complex supply chain operations which enable uninterrupted transportation movement throughout the entire network. 

Job ID: 3173577

Date Posted: NA

Expiration Date: NA

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Main Duties

  • Monitor transportation dashboards and manage intra-day capacity planning activities.
  • Execute change requests from partner teams with high accuracy within defined SLAs.
  • Analyze supply chain data to identify inefficiencies and improve operational performance.
  • Support business growth by developing scalable and automated planning solutions.
  • Apply problem-solving and communication skills to coordinate across technical and operational teams.
  • Implement best practices to reduce supply chain losses and improve efficiency.
  • Adapt to shift-based work schedules, including nights and weekends when required.

Essential Qualifications

  • Bachelor’s degree in supply chain management or business or engineering or finance or any related discipline. 
  • Demonstrates advanced skills in both data analysis and operational planning. 
  • Proficiency in Microsoft Office applications with special emphasis on Excel. 
  • Exceptional skills in communication together with abilities to manage relationships with various stakeholders. 
  • Effectively in environments that require quick work under demanding conditions while maintaining precise focus on their tasks. .

Preferred Qualifications

  • Possess experience with both transportation management systems and retail supply chain operations management. 
  • Advanced Excel skills and advanced skills for creating reports. 
  • Experience using automation tools which enable data-driven decision-making. 
  • Experience working in both large-scale logistics operations and e-commerce environments.