Virgin Atlantic Apprentice - Strategy & Planning Analyst (Cargo) 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 analyst (level 4)
- 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
- Support the delivery of data-led insights to shape commercial cargo decisions
- Help forecast revenue performance across routes, regions and key customers
- Create tools, dashboards and reports to make data accessible and actionable
- Analyse industry trends, macroeconomic drivers and competitive landscapes
- Collaborate with Revenue Management, Sales, Operations, and Contact Centre teams
- Contribute to the development of predictive models and KPI frameworks
- Work on projects that assess new opportunities or optimise existing practices
- Continuously evolve data workflows and propose enhancements to systems
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 analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
Your training plan
- 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 Grade C/4 or above)
- Maths (grade Grade C/4 or above)
- Science (grade 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 don’t need to be a data expert from day one, but you should feel comfortable working with numbers and eager to explore tools like Excel, Tableau, and SQL. If you’re someone who enjoys spotting patterns, solving problems, and making sense of complexity, this could be a brilliant fit.
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
You’ll complete the programme with more than just a sense of achievement. Over the course of your time as an Apprentice Analyst in our Cargo Commercial Insight team, you’ll develop the analytical mindset, technical skills, and commercial awareness that form the foundation of a successful career in aviation, logistics, or data-driven decision making.
You’ll build real-world experience working across core business areas—forecasting, revenue optimisation, market analysis, and performance tracking. You’ll gain confidence using tools like Excel, Tableau, and SQL, and you’ll learn how to translate complex datasets into strategic insights that shape commercial outcomes.
By the end of the programme, you’ll have contributed to live commercial projects, supported strategic decision-making at a global scale, and developed a strong grasp of how data informs planning, pricing, and performance in a fast-paced, international business.
Whether your next step is further study, a permanent role within our Cargo team, or a move into wider analytics, commercial, or operations roles across Virgin Atlantic, you’ll leave with the skills, experience, and connections to thrive.
In return for your curiosity and commitment, we’ll support you every step of the way. You’ll learn from experts, collaborate across departments, and grow in a business where data and insight sit at the heart of how we make decisions and deliver for our customers.
Ask a question
The contact for this apprenticeship is:
CAMBRIDGE SPARK LIMITED
The reference code for this apprenticeship is VAC1000327712.
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.