SynopsisThe role is part of the Solutions and Innovation team, where the individual will get the chance to be involved in delivering innovation projects for the Pricing and Revenue Management function.He/she will have the opportunity to put Operations Research and Machine Learning in practice to develop new algorithms as proof of concepts and subsequently implement as solutions after validation in areas such as Pricing, Demand Forecasting and Optimization.Accountabilities

• Prioritize and coordinate the delivery of bug fixes, enhancements, and new releases of Revenue Management (RM) systems in collaboration with T&I, Digital, and Commercial stakeholders.
• Drive automation in RM systems by developing models to take automated actions or implementing machine learning techniques.
• Develop innovative data models using analytical tools to make optimal commercial decisions.
• Liaise with inter-functional teams to understand business requirements and incorporate in the product roadmap to ensure its smooth adoption across the team.
• Construct data models and analytical tools to make optimal commercial decisions to maximize revenue.
• Conduct all phases of the projects (ideation, building the models, converting models into solutions, conducting successful implementation and change management), but also support some of the current systems with analysis and calibration.
• Monitor the user actions (pricing decisions, forecast influences, optimization and fare strategies) in the systems and provide feedback to users on their impact.
• Manage and maintain calibration of pricing models, forecasting and optimization parameters in Revenue Management (RM) systems.
• Manage user acceptance testing of Pricing and Revenue Management Systems and provide guidance on scope and test scenarios to various stakeholders involved in systems\' upgrades.
• Manage data quality assurance of inputs and outputs of Pricing & RM Systems interacting closely with Market Management, Group Analysts, Flight Analysts and T&I.
• Devise and manage effective KPI metrics to monitor systems\' usage and take necessary steps to improve systems usability.

Education & Experience

• Bachelor\'s degree Computer Science, Engineering, Statistics, Operations Research, Economics or MBA
• 2 to 3 years of experience in Revenue Management systems or Operations Research or statistical modeling or equivalent work experience.
• Experience within the aviation industry in the areas of Commercial, such as, demand forecasting, and optimization.
• Experience in the usage of tools such as R, Python, Tableau, Databricks or other equivalent tools.
• Experience in the usage of cloud based computing such as GCP, Azure or AWS.

About Etihad AirwaysEtihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world\'s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad\'s codeshare partners, Etihad\'s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. Etihad is recognised as one of the world\'s leading airlines in response to COVID-19 and was the first airline in the world to fully vaccinate its crew on board.Etihad sees tackling the climate crisis as the most important issue of our time, and through strategic partnerships with major global aviation brands and OEMs, Etihad is relentless in its pursuit of industry decarbonisation.To learn more, visit

Etihad Airways