On-Site Logistics Supervisor - Dubai Operations

Q-Express Documents Transport; Abu Dhabi; On-site; AED 134,000 - 201,000; Full time

Job summary

Amazon in Dubai is seeking a Station Supervisor to oversee shift management across delivery operations. The role requires on-site work in Dubai, focusing on safety, training, and accurate fulfillment of customer orders while maintaining quality standards.

You will adjust labor allocation, collaborate with cross-functional teams, and use data analysis to optimize processes. Fluent English and a background in logistics are essential, with proficiency in MS Office.

Qualifications

• Supervisory experience in logistics or operations.
• Fluent English in speaking and writing.
• Proficient with MS Office (Word, Excel, Outlook).

Responsibilities

• Work on-site in Dubai as the station supervisor.
• Create and cultivate a safe working environment by identifying safety opportunities.
• Manage and train Associates to deliver the best service for customers.
• Ensure orders are fulfilled in line with quality and safety guidelines.
• Continuously provide shift-related information to frontline management and operators.
• Adjust labor allocation throughout shifts to meet and exceed plans and forecasts.
• Engage with support functions and/or other departments to address issues in key performance areas.
• Help solve logistics challenges through data analysis, innovation and process optimization.
• Speak, write, and read fluently in English.
• Experience in logistics.
• Experience working with the MS Office suite in a professional environment.
• Experience managing teams.

Skills

Leadership

Team management

Safety awareness

Data analysis

Communication

Tools

Microsoft Office

Job description

Amazon in Dubai is seeking a Station Supervisor to oversee shift management across delivery operations. The role requires on-site work in Dubai, focusing on safety, training, and accurate fulfillment of customer orders while maintaining quality standards.

You will adjust labor allocation, collaborate with cross-functional teams, and use data analysis to optimize processes. Fluent English and a background in logistics are essential, with proficiency in MS Office.