Cargo Inventory Analytics Specialist
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Key skills for this role
About the Role
Qatar Airways Cargo is seeking a Cargo Inventory Analytics Specialist to join their team in Doha. The role involves analyzing and optimizing cargo inventory controls, setting commercial parameters, and using data modeling tools to maximize revenue.
Key Skills for This Role
Responsibilities
- Analyze and implement optimal levels of allocation capacity across the QR cargo network on a seasonal basis
- Analyze and set commercial entry parameters for structural demand such as RFQ's or allocations
- Analyze and set commercial entry parameters for ad hoc demand to maximize revenue potential
- Develop and suggest initiatives to improve setting of commercial controls by conducting data analysis and running optimization models
- Communicate new or updated inventory control initiatives to regional stakeholders and wider RM team
- Propose improvements to inventory control setting in team meetings or to line manager
- Define seasonal impact of payload limitations for any impacted route(s) and set capacity management controls
Requirements
- Bachelor's degree with minimum 4 years of job related experience
- Experience with data modeling tools and running large data analysis exercises
- Strong grasp of statistical concepts and applications such as regression, hypothesis testing, probability distributions, treatment effects
- Ability to communicate complex concepts intuitively to non technical audience
- Good knowledge of Machine Learning algorithms, statistical models, optimization models, simulation, and model evaluation techniques strongly preferred
- Previous experience in Air Cargo domain preferred
- Ability to work with data modeling tools such as R and Python
Full Job Posting
General Information
- Ref #: 233510
- Location: Qatar Doha
- Job family: Cargo & Airport Operations
- Closing Date: 2026 07 11
Description
- The air cargo industry is in an accelerated phase of change and transformation.
- Qatar Airways Cargo is leading this change as the world's largest global air cargo carrier.
- We are looking for talents – the bold, the imaginative and the change maker.
About The Role
- Responsible for supporting in developing and setting a selection of inventory controls across the QR network (Passenger and Freighter flights).
- Support Cargo Inventory Analytics Manager in setting the optimal mix between allotment and free sale capacity, overbooking levels and commercial controls.
Responsibilities
- Analyze and implement optimal levels of allocation capacity across the QR cargo network on a seasonal basis.
- Analyze and set commercial entry parameters for structural demand such as RFQ's or allocations.
- Analyze and set commercial entry parameters for ad hoc demand.
- Develop and suggest initiatives to improve the setting of commercial controls by conducting data analysis and running optimization models.
- Communicate new or updated inventory control initiatives to regional stakeholders and among the wider RM team.
- Propose improvements to inventory control setting in team meetings or to the line manager.
- Define seasonal impact of payload limitations for any impacted route(s) across the network.
About You
- Bachelor’s degree with minimum 4 years of job related experience.
- Experience of working with data modelling tools and running large data analysis exercises.
- Strong grasp of statistical concepts and applications such as regression, hypothesis testing, probability distributions, treatment effects, etc.
- Ability to communicate complex concepts intuitively to non technical audience.
- Good knowledge of Machine Learning algorithms, statistical models, optimization models, simulation, and model evaluation techniques strongly preferred.
- Previous experience of having worked in the Air Cargo domain is preferred.
- Ability to work with data modelling tools (such as R, and Python).
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