Cargo Inventory Analytics Specialist at Qatar Airways

Doha, , Qatar -

Full Time

Start Date

Immediate

Expiry Date

30 Sep, 26

Salary

0.0

Posted On

02 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modelling, Statistical Analysis, Regression, Hypothesis Testing, Probability Distributions, Machine Learning, Optimization Models, Simulation, R, Python, Inventory Control, Revenue Management, Air Cargo Operations, Capacity Management, Data Analysis, Communication

Industry

Airlines and Aviation

Description

The air cargo industry is in an accelerated phase of change and transformation. From digitalizing the end-to-end value chain, to fortifying a true e-commerce experience, to the launch of digital freight marketplaces, and much more. As the world’s largest global air cargo carrier, Qatar Airways Cargo is leading this change. To support our vision, we are looking for talents – the bold, the imaginative and the change-maker. All of who will support Qatar Airways Cargo’s position as a true leader in the air freight industry. If you want to make an impact, to grow your experience and to challenge your comfort zone, then join us at Qatar Airways Cargo and be part of our passionate team. As the business expands, we are pleased to announce an incredibly exciting opportunity to be part of Qatar Airways Cargo Operations Team in Doha as Cargo Inventory Analytics Specialist About the role In this role, you will be 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 while ensuring the developed strategies are successfully implemented As part of your role, your responsibilities will be inclusive of, but not limited to the following: • Analyze and implement optimal levels of allocation capacity across the QR cargo network on a seasonal basis to reduce exposure to market fluctuations while benefitting from ad-hoc demand. • Analyze and set commercial entry parameters for structural demand such as RFQ's or allocations in order to filter out the most beneficial flows for long term support, both on freighters and passenger flights. • Analyze and set commercial entry parameters for ad-hoc demand, adjusting the entry requirements for market fluctuations in order to maximize the revenue potential of QR cargo capacity. • Develop and suggest initiatives to improve the setting of commercial controls by conducting data analysis and running optimization models, striving for continuous improvement. • Communicate new or updated inventory control initiatives developed by the Inventory Analytics team to regional stakeholders and among the wider RM team, ensuring there is. understanding and support for such initiatives among key stakeholders. • Propose improvements to inventory control setting in team meetings or to the line manager, striving towards continuous improvement for the team. • Define seasonal impact of payload limitations for any impacted route(s) across the network, set capacity management controls to optimize this capacity season long. Be part of an extraordinary story Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible. 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). About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So, whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.

Responsibilities

Develop and implement inventory controls and capacity management strategies across the cargo network to maximize revenue. Analyze demand patterns and use optimization models to set commercial entry parameters for both structural and ad-hoc demand.