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.
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At Vueling, we love things to happen.
We always do our best to go one step further and do it better.
We invite our people to celebrate their unique strengths, work as a team to overcome challenges and achieve their goals for the greater good.
Our team is made of great professionals.
Great and passionate people who collaborate, support and complement each other's skills.
We are one of Europe's leading low-cost airlines.
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.
Main Accountabilities: Synthesizing disparate data to maximize the performance of á la carte and bundle products including: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.Providing ongoing analytical reporting and distillation of key results for commercial team as well as leadership.Main Responsibilities: 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.Support forecasting efforts for ancillary revenue and loyalty teams to drive total revenue.Main Relationships: Work with a variety of teams to ensure revenue optimization, including but not limited to: 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. Experience in exploratory data analysis (EDA) to identify trends, patterns, and outliers in pricing data.
Competencies: An adept problem-solver driven by facts and analytics. Eager to structure data-driven analytical approaches to solve business problems. Ability to efficiently summarize analytic approaches and products and present insights and actions to upper management. A strong work ethic, innate curiosity and readiness to take initiative to drive positive results. Experience in time-series analysis and forecasting methods to predict demand and optimize pricing over time. Proven ability to independently perform quantitative analysis and model development. Comfortable working self-sufficiently or with a team to creatively solve analytical challenges with limited data. Flexible and agile in a continuously evolving business environment. Ability to collaborate with cross-functional teams, including marketing, finance, and operations.
Languages: English: C1 Spanish is a plus.
Other: Innate curiosity. Action-oriented and results driven. A strong work ethic; driven by results. Has the potential to grow into broader and more senior roles within the organization. Flexible and agile in a continuously evolving business environment. An adept problem-solver driven by facts and analytics. Eager to structure data-driven analytical approaches to solve business problems. Adaptive to changing business priorities. A commitment to staying up-to-date with the latest advancements in data science the airline industry. Familiarity with machine learning techniques, especially regression analysis, clustering, and classification algorithms. Experience with machine learning models, SQL, Python, JSON and data visualization tools such as Tableau or Power BI. Ideally, exposure to technologies such as Amazon Redshift and Navitaire PSS.
Location: Viladecans (Barcelona)
Level: Individual Contributor 5 - TEC
Vueling is the first Top Employer airline in Europe. Vueling is the first European airline and the first low-cost airline in the world to obtain this certification, based on Vueling's results in the Top Employers Institute's HR Best Practices Survey, and covers six areas of human resources across 20 different topics.
#FlyToYourFullPotential: Every single person who works with us is unique. Join us is accepting the invite to fly to your full potential through self-development and pursuing your professional passion. Our employee value proposition and benefits include staff travel, discounts, a flexible working model, and more!
Our Culture: We thrive on teamwork and collaboration. Joining our team means being part of a cohesive unit that works together, shares knowledge, and supports each other. Our positive working atmosphere is unique and essential to our productivity and growth. You'll be surrounded by diverse and dynamic professionals. We are passionate about what we do: Connecting People and Places!
Our Recruitment Process: Your experience as a candidate is critical for us. We firmly believe that understanding our process will alleviate anxiety and ignite your passion for this extraordinary experience!
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