Summary
Key responsibilities
Develop and maintain robust, data-driven forecasting models to support inventory optimisation and revenue management strategies
Translate complex data into timely, actionable insights that enable proactive decision-making and contribute to departmental performance targets and OKRs
Identify and eliminate operational inefficiencies, streamlining revenue management processes to improve speed, accuracy, and scalability
Monitor and validate model performance, ensuring reliability, accuracy, and high standards of data quality across all analytical outputs
Support the evolution of revenue management systems and methodologies by researching, evaluating, and implementing emerging tools, technologies, and analytical approaches
Partner with internal and external stakeholders to enhance system integration and drive communication
Key requirements
Bachelors degree in Engineering, Mathematics, Statistics, Economics, or related quantitative disciplines
Proven experience in building and deploying forecasting models and optimization algorithms
Background in airline revenue management, pricing or commercial analytics is highly advantageous
Strong understanding of data analysis and statistical modelling
Proactive, self-driven and comfortable working in a fast paced, data driven environment