Job details
Location: VHQ, Crawley
Hours: Mon – Friday, 9.00 – 17.30
Contract Type: Permanent
Salary: Competitive
Closing Date: 8th May 2026
At Virgin Atlantic, we believe in the extraordinary power of people to reshape what’s possible.
With our bold ambition to become the most loved travel company, we’re redefining aviation through innovation, inclusivity, and a culture that puts people first. Individuality isn't just welcomed — it’s celebrated.
In a nutshell
At Virgin Atlantic, we’re passionate about using data to drive smarter decisions and deliver commercial performance. We’re looking for an Analyst – Trading & Revenue Optimisation to join our team and help unlock revenue opportunities across our global network.
This is an exciting opportunity for a commercially minded analyst to work at the heart of airline trading—partnering with stakeholders to turn data into insight, and insight into action.
Day to day
You’ll play a key role in supporting our Trading team by delivering high-quality analysis and insight to optimise revenue performance.
Working closely with Trading Managers, you will:
• Analyse revenue performance across routes, cabins, points of sale, and channels
• Identify trends, risks, and opportunities to improve trading performance
• Build and enhance dashboards (e.g. Power BI) to give clear, actionable visibility of performance
• Translate complex data into meaningful insights and recommendations
• Support decision making that drives commercial outcomes
You’ll also:
• Work with large datasets using tools like Excel, SQL, and Databricks
• Analyse META (metasearch) performance including traffic, conversion, and competitiveness
• Collaborate with teams across Commercial, Finance, Data & Insights, Joint Ventures, and VAA Holidays
• Contribute to improving data processes, automation, and reporting efficiency
About you
We’re looking for someone who is curious, analytical, and motivated by solving commercial problems through data.
You’ll bring:
• A degree in a numerical, analytical, or scientific discipline
• Experience in an analytical, commercial, or data-focused role
• Strong analytical skills with the ability to interpret and clearly communicate insights
• Advanced Excel skills and experience with Power BI (or similar tools)
• Experience working with SQL or data platforms such as Databricks
• High attention to detail and confidence working with large datasets
It’s a bonus if you have:
• Airline or travel industry experience
• Exposure to financial or planning systems (e.g. TM1)
Be Yourself – We Celebrate Difference
At Virgin Atlantic, diversity and inclusion are part of who we are. We’re proud to be an equal opportunity employer and we welcome individuals from all backgrounds.
If you need any adjustments during the application process, please contact us at [email protected] — we’re here to help.
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What We Do
Virgin Atlantic first took to the skies in 1984 to shake things up, bringing a sparkle of red, a touch of wit and a passion for flying to the grey world of airlines. We fell in love with creating the best experience in the skies for our customers, and they fell in love with us right back. Since then we’ve become Britain’s second largest carrier, with non-stop transatlantic routes including New York, Orlando, the Caribbean, Delhi and Johannesburg. And thanks to our hugely successful joint venture with Delta, Air France and KLM, we can seamlessly connect our customers to over 350 cities across North America, Europe and the UK. Today, we want to empower everyone to take on the world. The customers we proudly fly and our people who go the extra mile. As we embark on a brand spanking new era of travel, it gives us more opportunities to do things differently and lead the way with fresh ideas. This means becoming more sustainable for our planet and our destinations, and working hard to make travel open to everyone, no matter who you are, who you love or where you go. And of course never, ever, forgetting the small stuff - like the clink of champagne glasses on a special occasion or a cheeky cream tea at 30,000 feet.
