Solutions & Analytics Analyst

The Solutions & Analytics Analyst role is part of the Solutions and Innovation team, focusing on delivering innovative projects for the Pricing and Revenue Management (RM) function. The individual will apply Operations Research and Machine Learning to develop and implement new algorithms as proof of concepts in areas such as Pricing, Demand Forecasting, and Optimization.

Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time

Key Responsibilities:

• Master inputs, outputs, and algorithms of current RM systems, and support RM in day-to-day inquiries.
• Develop strong commercial knowledge and liaise with internal and cross-functional teams to understand business requirements.
• Construct data models and analytical tools to support commercial decisions aimed at maximizing revenue.
• Drive revenue and automation by developing advanced analytical models (descriptive, diagnostic, predictive, prescriptive) and deploying them within the Pricing & RM ecosystem.
• Develop and maintain calibration of forecast, fare, and optimization parameters in Revenue Management systems for improved forecast accuracy and effective Origin & Destination (O&D) controls.
• Participate in key commercial projects, enhancing existing processes and testing and implementing new technologies to optimize revenue.
• Monitor user actions within the systems, providing insights on their impact and improving system usage.
• Coordinate user acceptance testing of Revenue Management Systems and guide various stakeholders on test scenarios during system upgrades.
• Manage data quality assurance of inputs and outputs of Pricing & RM Systems while working closely with RM and IT.
• Maintain and automate routine tasks related to system health.

Qualifications:

• Bachelor’s degree in Statistics, Operations Research, Economics, Computer Science, or Engineering.
• 4 years of relevant experience in designing, implementing, and maintaining Operations Research and/or data science models used in commercial/operational processes.
• Experience with data science programming languages (R, Python) and cloud-based data warehouses (Azure Synapse Analytics, Google BigQuery, Snowflake).
• Experience in the aviation industry, particularly in areas such as demand forecasting and optimization, is an asset.