.Welcome to this recruitment process with Vueling! Applying is your first step to having the opportunity to join the first Top Employer airline in Europe. We hope the information you find here encourages you to apply so we can get to know you and stay connected. Job Purpose As a key member of the ancillary pricing team you will be responsible for utilizing data to maximize revenue for Vueling's diverse portfolio of ancillary products, while mitigating costs. In this role you will focus on developing and implementing next generation price optimization models and supporting analytics. You will work with members of the ancillary product, revenue management, data science, digital and distribution teams to continue executing on ancillary growth for the airline. Main Accountabilities Analyzing pricing structures for products to ensure they are performing as expected and finding new opportunities. Conduct thorough analysis of data to identify patterns, trends and insights. Performing frequent analysis on the pricing elasticity of different routes and customer segments in Vueling's network. Utilize regression analysis, clustering, and classification techniques to understand and predict customer behavior and market dynamics. Apply optimization techniques to determine the most effective pricing strategies based on factors such as capacity, historical data, experiment data and market conditions. Investigating opportunities to integrate machine learning and real-time data integration into the ancillary pricing portfolio. Adapt to changing market conditions, regulatory environments, and business strategies, adjusting pricing models accordingly. Providing ongoing analytical reporting and distillation of key results for commercial team as well as leadership. Main Responsibilities - Tasks Improve revenue for ancillary products. Work with revenue management, data engineers, data scientists, digital and distribution to improve product pricing strategy. Perform exploratory data analysis to gain insight into customers' purchase behavior. Develop product and customer centric analytics utilizing cluster analysis, collaborative filtering, and randomized elasticity testing. Work with members of the ancillary team to provide insights that drive further refinement of the ancillary product portfolio. Support forecasting efforts for ancillary revenue and loyalty teams to drive total revenue. Main Relationships Ancillary product owners Revenue Management and Pricing Data Engineers and Data Scientists Digital Distribution Education Undergraduate degree in statistics, mathematics, finance, economics, operations research, computer science, or some combination of the above. Experience 2 years' experience in airline/travel industry, within revenue or commercial related functions. Demonstrated understanding of economics and airline (or related) commercial metrics