Virgin Atlantic Apprentice - Data Technician Networks 2025
VIRGIN ATLANTIC AIRWAYS LIMITED
West Sussex (RH10 9DF)
Closes in 20 days (Sunday 20 July 2025)
Posted on 30 June 2025
Contents
Summary
We believe the best jobs make you fly - so what better way to launch your career than with a 24-month Virgin Atlantic Apprenticeship in Analytics, Data and AI? You’ll gain hands-on experience, industry-recognised qualifications, and make a real impact from day one.
- Wage
-
£26,255 a year
- Training course
- Data technician (level 3)
- Hours
-
Monday - Friday, 9.00am - 5.30pm but a degree of flexibility will be required.
37 hours 30 minutes a week
- Start date
-
Monday 13 October 2025
- Duration
-
2 years
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
- Own and manage a variety of regular reports for internal and external use, using Excel, PowerPoint, and PowerBI
- Develop new reporting tools and enhance existing dashboards to surface actionable insights
- Apply visualisation best practices to highlight network performance and profitability
- Collaborate with Network & Alliances colleagues to understand reporting needs and priorities
- Work hand-in-hand with the Data & AI team to access the right data in the right format
- Communicate trends and insights clearly to non-technical stakeholders across the business
- Help ensure consistent use of data across teams by aligning on definitions and methodologies
- Contribute to a culture of continuous improvement within the reporting process
Where you'll work
Company Secretariat - The VHQ
Fleming Way
Crawley
West Sussex
RH10 9DF
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
College or training organisation
CAMBRIDGE SPARK LIMITED
Your training course
Data technician (level 3)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Source and migrate data from already identified different sources.
- Collect, format and save datasets.
- Summarise and explain gathered data.
- Blend data sets from multiple sources and present in format appropriate to the task.
- Manipulate and link different data sets as required.
- Use tools and techniques to identify trends and patterns in data.
- Apply basic statistical methods and algorithms to identify trends and patterns in data.
- Apply cross checking techniques for identifying faults and data results for data project requirements.
- Audit data results.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent technical documentation using standard organisational templates.
- Store, manage and distribute in compliance with data security standards and legislation.
- Explain data and results to different audiences in a way that aids understanding.
- Review own development needs.
- Keep up to date with developments in technologies, trends and innovation using a range of sources.
- Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
- Operate as part of a multi-functional team.
- Prioritise within the context of a project.
- Source and migrate data from already identified different sources.
- Collect, format and save datasets.
- Summarise and explain gathered data.
- Blend data sets from multiple sources and present in format appropriate to the task.
- Manipulate and link different data sets as required.
- Use tools and techniques to identify trends and patterns in data.
- Apply basic statistical methods and algorithms to identify trends and patterns in data.
- Apply cross checking techniques for identifying faults and data results for data project requirements.
- Audit data results.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent technical documentation using standard organisational templates.
- Store, manage and distribute in compliance with data security standards and legislation.
- Explain data and results to different audiences in a way that aids understanding.
- Review own development needs.
- Keep up to date with developments in technologies, trends and innovation using a range of sources.
- Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
- Operate as part of a multi-functional team.
- Prioritise within the context of a project.
Your training plan
Data Technician Level 3 Apprenticeship Standard:
- The course runs for 24 months at our Crawley, West Sussex, VHQ
- After that, it’ll be time to put all your training into practice. The sky really is the limit
Requirements
Essential qualifications
GCSE in:
- English (grade C/4 or above)
- Maths (grade C/4 or above)
- Science (grade C/4 or above)
Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
- Non judgemental
- Patience
Other requirements
You’ll need to be naturally analytical and detail-oriented—network performance is complex, and small changes in the data can tell big stories about our commercial decisions. You don’t need to be a Power BI expert on day one, but you’ll need to enjoy working with numbers, spotting patterns, and turning data into insights that others can act on.
About this company
Virgin Atlantic took off in 1984 when Richard Branson set out to shake up the aviation industry—and we’ve been doing things differently ever since. What began with a single 747, one route, and a small but mighty team has grown into an international airline with a global network and thousands of passionate people behind it. But our story has never just been about planes—it’s about people. From the very beginning, we’ve believed that travel should feel exciting, personal, and filled with possibility. That belief still drives us today as we work towards our mission: to become the most loved travel company. Whether we’re designing innovative customer experiences, pushing boundaries in sustainability, or building inclusive teams that reflect the world we serve, we’re united by a shared spirit of adventure, heart, and humanity. Because at Virgin Atlantic, we don’t just fly people from A to B—we help them take off in every sense. We’re not just your average airline. When it comes to our people, they’re a passionate lot, united in creating something different. It’s always been like this. It’s in our DNA, and it was ignited within us from the moment we started flying.
After this apprenticeship
- By the end of the programme, you won’t just have completed an apprenticeship - you’ll have built a strong foundation in network performance analysis, data storytelling, and business insight that directly supports Virgin Atlantic’s commercial decisions
With hands-on experience in tools like Power BI, Excel, and PowerPoint, and a deep understanding of how we assess and grow our global network, you’ll be well-placed for a number of exciting next steps. These might include roles such as:
- Junior Analyst within Network & Alliances, Revenue Management or Commercial Strategy
- Reporting Analyst in the central Data & AI team
- Insight or Business Analyst roles across teams like Sales, Holidays, or Cargo
We’ll support you in exploring permanent opportunities within the business as your apprenticeship draws to a close—and help you take that next step confidently with real-world skills, commercial understanding, and internal relationships already in place.
Ask a question
The contact for this apprenticeship is:
CAMBRIDGE SPARK LIMITED
The reference code for this apprenticeship is VAC1000327575.
Apply now
Closes in 20 days (Sunday 20 July 2025)
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After signing in, you’ll apply for this apprenticeship on the company's website.