Revenue Analyst

Overview

We are easyJet – a FTSE-100 listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. If you’re reading this, you have probably already been an easyJet customer, and you’ll know that there is no more iconic (or Orange!) travel brand in Europe. We fly more than 1,207 routes, connecting 38 countries across Europe, and employ more than 18,000 colleagues. We’re on a mission to make low-cost travel easy – and whatever your role here, you’ll connect millions of people to what they love using Europe’s best airline network, great value fares, and friendly service. What makes us easyJet? Our Promise Behaviours - we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet.

Read on if you

• Have a strong analytical background with experience in data driven decision making.
• Enjoy collaborating with cross functional teams to drive commercial success.
• Can be in our fantastic Luton head office 3 x per week.

The Team

The Revenue Management & Trading team is the engine room of easyJet’s commercial success. We are a high-energy, data-driven department responsible for ensuring that every seat on every flight is priced optimally to maximize total revenue. Our team bridges the gap between complex data science and real-world commercial strategy, working closely with Marketing, Network, and Finance to navigate the fast-paced aviation market. By joining us, you’ll be turning massive datasets into actionable insights that directly impact our bottom line and help millions of customers fly to their favourite destinations.

The Role

As a key member of our team, you will drive revenue growth by providing deep dive analytical insights into pricing trends, demand patterns, and inventory performance. You will lead the design and execution of rigorous statistical testing (A/B testing) that validates new pricing strategies and commercial initiatives. Your ability to translate complex data into clear strategic recommendations will ensure easyJet remains agile and competitive in a fluctuating market.

Requirements of the Role

What we’re looking for

• Academic Background: You hold a Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, or Physics.
• Technical Proficiency: You have professional experience using SQL and Python for data manipulation and statistical analysis.
• Data Visualisation: You have proven experience building commercial dashboards using Tableau or similar BI tools (e.g., PowerBI).
• Statistical Expertise: You have practical experience in designing and evaluating A/B tests and multivariate experiments within a business context.
• Industry Experience: You bring a minimum of 2+ years of experience in an analytical role, ideally within Aviation, Travel, Hospitality, or a high volume E-commerce environment.
• Commercial Acumen: You demonstrate the ability to translate technical findings into "so-what" insights for non-technical stakeholders.

What you’ll get in return

• Up to 20% maximum bonus
• 7% pension contributions
• Medical Cash Plan
• Excellent staff travel benefits
• 25 days of annual leave + bank holidays
• Annual credit towards an easyJet holiday
• Various flexible benefits and extras

Practicalities

This full-time role will be based in Luton and will be 40 hours per week. We support hybrid working and we spend 60% of our time per month in the office.

Reasonable Adjustments

At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at ma.recruitment@easyjet.com. We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.

We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

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