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Job Description

Special Note

This role comes under "CoreOps Service Private Limited", Air Arabia's newly launched Global Capability Center in Pune, India. 


CoreOps Services Private Limited (a subsidiary of “Air Arabia PJSC”) caters to the global business operations of the Air Arabia group and provides operations support to the Air Arabia parent company as well as its subsidiaries, joint ventures and associates worldwide. “CoreOps” focuses on centralizing, standardizing, and streamlining processes for efficient functioning of the business.




Job Purpose

The Control Tower Analyst for Logistics plays a crucial role in ensuring seamless supply chain operations by overseeing real-time shipment tracking, analyzing data for route optimization, and suggests rerouting solutions to minimize costs and mitigate risks. The role involves providing actionable insights and enhanced visibility for management decision-making, resolving operational disruptions, and driving continuous improvement through process optimization. The analyst ensures compliance with regulatory standards, maintains accurate documentation, and collaborates with stakeholders to deliver efficient, reliable, and cost-effective logistics solutions.




Key Result Responsibilities

Key Result Responsibilities - Continued

Qualifications (Academic, training, languages)
  • Bachelor’s degree in Supply Chain Management, Logistics, Business Administration, or a related field.
  • Experience with ERP, TMS and WMS; Knowledge of integration with 3PLs and last-mile delivery systems is an advantage.
  • Proficient in data analytics tools. Advanced Excel & Power BI or Tableau is a must.
     


Work Experience

Minimum 3 years of experience in logistics, supply chain, or related fields
Previous experience in a control tower environment or a logistics analyst role preferred.
Good communication skills (written & verbal)
Ability to multitask, prioritize, and operate in a fast-paced environment.
Strong analytical and problem-solving skills, with the ability to quickly interpret complex data.
Familiarity with control tower and e-commerce specific terms.
Willingness to work flexible hours.





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