Network and Alliances Development Analyst

Location: Hybrid - 3 days per week at VHQ, Crawley
Hours: Full time, 37.5 hours per week, Monday to Friday
Contract type: Permanent
Closing date: 25th October, 2026

At Virgin Atlantic Airways, we believe that everyone can take on the world, and it is our vision to become the most loved travel company. As we embark on the next exciting stage of our journey, we are harnessing our spirit of entrepreneurship and innovation to challenge the status quo.

Every decision about where Virgin Atlantic flies, how our routes perform and how we work with airline partners depends on clear, accurate and accessible insight.

As an Analyst in Network & Alliances Development, you will help turn complex commercial and network data into the tools, reporting and analysis that support decisions across our route network, partnerships and future growth. Your work will help colleagues understand network revenue, route profitability, connectivity, competitor performance and the performance of our airline partnerships.

You will work with a wide range of teams, including Data & AI, Revenue Management, Sales, Virgin Atlantic Holidays, Cargo and external insight, process and data vendors. You will turn complex datasets into clear analysis, improve existing reporting and look for smarter ways to automate and simplify how we work.

This is a role for someone who wants to go beyond reporting. You will help improve how the team uses data, build better tools, automate manual processes and turn analysis into clear commercial stories that colleagues can act on.

It is a great opportunity for someone who is curious, technically capable and excited by the prospect of using data to influence real commercial decisions in a dynamic aviation environment.

• Build and produce regular reporting on network revenue generation, route profitability, connectivity, market performance and airline partnership performance

• Maintain and improve the analytical tools used across Network & Alliances, ensuring outputs remain accurate, relevant and easy to use

• Work with stakeholders to understand the commercial questions behind the data and translate them into practical reporting, insight or tool improvements

• Partner with Data & AI to access the right data, resolve quality issues and ensure consistent use of agreed definitions and sources

• Create clear and engaging visualisations that make complex information easier to understand and act upon

• Identify opportunities to automate manual processes, improve data flows and simplify recurring activity

• Support the introduction of new analytical technology, including Quality of Service Index (QSI) tools, automation and appropriate AI applications

• Document tools and processes so they can be maintained, understood and used consistently by the wider team

• Help colleagues build confidence in using reporting and analytical tools through guidance, training and ongoing support

• Contribute analysis to network, alliance and commercial projects as priorities evolve

You will be naturally curious and enjoy getting beneath the surface of a problem. You will be comfortable working with numbers, but equally interested in understanding the commercial story behind them.

You may already have experience in an analytical, commercial, business intelligence, data product, pricing, revenue management, consulting, travel or aviation role. Direct airline experience is not essential. What matters most is your ability to think logically, learn quickly and communicate insight clearly.

You will need to bring:

• Strong analytical and numerical skills, with an ability to work confidently with complex datasets

• A logical and structured approach to solving problems

• Experience producing reporting, analysis or data visualisations that help others understand performance

• The ability to explain findings clearly and succinctly to colleagues who may not have an analytical background

• Experience with Power BI or similar data visualisation tools

• Strong attention to detail and a commitment to maintaining accurate, reliable outputs

• The confidence to ask questions, challenge assumptions and suggest better ways of working

• The ability to organise your workload and manage multiple priorities in a fast-moving environment

• A collaborative approach and willingness to build relationships across different teams

It would also be useful if you have:

• Experience with SQL, Python, Databricks or similar data tools

• Experience with Power Automate, Power Apps or wider Microsoft Power Platform tools

• An…