Solutions & Analytics Analyst

About the Role

As Etihad continues to transform its commercial capabilities through Journey 2030, we’re looking for an experienced Revenue Management professional to help shape the next generation of inventory optimisation and commercial decision-making.

Joining our Solutions & Innovation team, you’ll sit at the intersection of Revenue Management, Technology and Data, leading initiatives that improve how inventory is forecast, optimised and managed across our global network.

This isn’t a traditional Revenue Management role. You’ll combine commercial expertise with technology, advanced analytics and product thinking to design smarter solutions, automate complex processes and deliver measurable commercial value. Working alongside Digital, Technology and Commercial stakeholders, you’ll help define how our Revenue Management systems evolve to support one of the world’s fastest-growing airlines.

If you’re passionate about solving complex commercial problems, improving systems and driving innovation, we’d love to hear from you.

What you’ll be doing

• Identify opportunities to improve commercial systems, business processes and decision frameworks through automation, advanced analytics and emerging technologies.
• Act as support for inventory-related Revenue Management systems, ensuring they continue to evolve in line with commercial priorities.
• Partner with Revenue Management, Commercial, Digital and Technology teams to define business requirements and influence future product roadmaps.
• Oversee system enhancements, upgrades, testing and production releases while ensuring minimal business disruption.
• Monitor inventory optimisation performance, user behaviour and forecasting outcomes, providing recommendations that improve commercial performance.
• Manage calibration of forecasting models, optimisation parameters and inventory controls to maximise revenue opportunities.
• Ensure high standards of system data quality, governance and usability across Revenue Management platforms.
• Translate complex analytical outputs into practical commercial recommendations for business stakeholders.

What we’re looking for

We’re looking for someone who combines strong airline Revenue Management expertise with a genuine passion for improving systems, solving business problems and delivering innovation.

You’ll be comfortable working across commercial and technical teams, influencing stakeholders and turning complex business requirements into scalable solutions.

Essential

• Bachelor’s degree in Computer Science, Engineering, Statistics, Operations Research, Economics or a related discipline (MBA advantageous).
• Minimum 4 years relevant experience or airline industry experience desirable.
• Hands-on experience with inventory optimization and availability management.
• Experience with Python, R, Tableau, Databricks or similar analytical tools.
• Excellent stakeholder management and communication skills.
• Demonstrated experience delivering projects while balancing operational priorities.

Desirable

• Experience using Revenue Management platforms such as Amadeus, Sabre or PROS.
• Exposure to cloud technologies including Azure, AWS or GCP.
• Experience delivering automation, analytics or AI-enabled commercial solutions.

Etihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.

To learn more visit www.etihad.com

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Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.