Solutions and Analytics Analyst

About the role

As part of Etihad's Journey 2030 transformation, the Solutions and Analytics team is looking for an experienced Revenue Management professional to join its Solutions & Innovation team. The role sits at the intersection of Revenue Management, technology and data, combining commercial expertise with advanced analytics and product thinking to improve how inventory is forecast, optimised and managed across the airline's global network.

Key responsibilities

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

Required profile

• Bachelor's degree in Computer Science, Engineering, Statistics, Operations Research, Economics or a related discipline (MBA advantageous).
• Minimum 4 years of relevant experience; airline industry experience desirable.
• Hands-on experience with inventory optimisation and availability management.
• Excellent stakeholder management and communication skills, and proven ability to deliver projects while balancing operational priorities.

Required skills

• Experience with Python, R, Tableau, Databricks or similar analytical tools.
• Desirable: Revenue Management platforms such as Amadeus, Sabre or PROS.
• Desirable: exposure to cloud technologies such as Azure, AWS or GCP, and experience delivering automation, analytics or AI-enabled commercial solutions.