COMMERCIAL INSIGHTS ANALYST (PART TIME)

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.

Let's start by getting to know us better!

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, with special relevance in the Spanish domestic market, as well as in France and Italy.

 Job Purpose

Support and enhance commercial decision-making within Vueling by ensuring the accuracy and quality of data, conducting detailed analysis, coordinating processes, and identifying and implementing opportunities to improve profitability and operational efficiency.

Main Accountabilities

• Ensure the accuracy, reliability, and consistency of all incoming and reported data to support informed decision-making.
• Provide timely, comprehensive reports that enable internal reviews and cross-departmental communication.
• Deliver detailed analyses identifying cost-saving and revenue-enhancing opportunities.
• Produce accurate financial forecasts and economic models aligned with strategic goals.
• Generate clear, data-driven presentations that communicate insights and support decision-making.
• Guarantee proper tracking and implementation of business cases and transformation initiatives.
• Continuously improve analytical processes and models to increase efficiency and accuracy.

Main Responsibilities - Tasks

• Ensure data quality and accuracy by verifying, validating, and maintaining reliable datasets.
• Execute daily, weekly, bi-weekly, and monthly reporting cycles for internal and external use.
• Conduct cost and revenue analyses to identify new opportunities for profitability improvement.
• Coordinate and execute short- and long-term financial forecasting and economic modeling.
• Lead analyses and discussions on route-level performance, preparing supporting materials for stakeholders.
• Develop and prepare analytical reports and presentations for internal and external audiences.
  
• Coordinate performance and transformation processes to identify, track, and implement cost and revenue opportunities.
• Segment and analyze data to uncover trends, patterns, and strategic insights.
• Perform ad hoc analyses in response to internal requests or emerging opportunities.
• Continuously review and enhance analytical processes, ensuring greater accuracy and efficiency.
  

Main Relationships

• Revenue Management: For understanding and impacting flight economics, such as load factor, pricing, and profitability.
• Digital Marketing: To coordinate promotional activities and ensure alignment with marketing campaigns.
• Finance: For managing cost impacts, forecasting, and ensuring alignment with financial goals.
• Network: For understanding operational plans, aircraft allocation, and frequency.
• Customer Experience (CX): To ensure alignment with customer-related costs and revenues.
• Transformation: For coordinating the implementation and tracking of transformation initiatives.
• IT/Data Teams: For ensuring data quality, managing data-related projects, and implementing improvements.
• Operations: For understanding broader operational impacts and incorporating them into analysis and forecasting.
• Strategy Team: For aligning with long-term strategic goals and ensuring all analyses support the broader business strategy.
• IAG Data and Analytics Teams: For sharing reports, aligning methodologies, and benchmarking best practices.
• Google and other marketing platforms: For performance marketing insights, optimizing online advertising strategies, and exploring innovative approaches using AI and advanced analytics.
• External Data Providers: For integrating additional data sources to enhance analysis and insights.

Education

• A degree in Business, Engineering, Statistics, or a related field.
• People who are studying for a degree or master's and are available to work part-time can also be considered.
  

Experience 

• Ideal