At a Glance
- Tasks: Analyse data to drive decisions and improve airline operations.
- Company: Join Virgin Atlantic, a leader in the aviation industry with a focus on innovation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Inclusive workplace that values diversity and supports your unique journey.
- Why this job: Make a real impact by shaping data-driven decisions in a dynamic environment.
- Qualifications: Experience in data analysis and familiarity with tools like SQL or Python.
The predicted salary is between 35000 - 45000 £ per year.
Hours: 37.5 per week, Monday to Friday
Location: Hybrid working 3 days a week in Virgin Atlantic Hangar, Exeter Road, Heathrow airport, Hounslow, TW6 2PJ with occasional travel to our VHQ, Crawley site.
Contract: Permanent
Closing date: 30th April 2026
In a nutshell
This is your opportunity to build a career where data directly impacts how an airline operates every day. As a Data Analyst within Engineering & Maintenance, you’ll help shape how data is used to support decision-making across one of the most operationally critical areas of the business. You’ll develop data models, build dashboards, and generate insights that help teams understand performance, improve processes, and make better-informed decisions. Working alongside experienced analysts and leaders, you’ll contribute to projects that improve efficiency, strengthen data quality, and support the delivery of reliable, accessible insight across Engineering & Maintenance.
Day to day
- Analyse data to identify trends, insights, and opportunities across Engineering & Maintenance
- Build and maintain dashboards, reports, and data models to support operational decision-making
- Support cross-functional projects by providing timely, accurate analytical input
- Collaborate with stakeholders to understand requirements and translate them into data solutions
- Contribute to the development of internal tools, workflows, and reporting improvements
- Ensure data quality, consistency, and adherence to governance standards
- Present insights in a clear, accessible way for a range of audiences
About you
- Demonstrable experience in data analysis, BI reporting, data modelling, digital solutions, or related data science work within a commercial or operational environment
- Broad technical aptitude and experience working across a range of analytical, reporting, or data science tools and technologies. Exposure to SQL, Python, R, or similar tools would be advantageous
- Evidence of building and maintaining data models, dashboards, reports, or user-focused data solutions that support business decision-making
- Proven ability to analyse data, identify trends, and translate findings into clear, actionable outputs
- Experience working with stakeholders to understand requirements and support the delivery of analytical or digital solutions
- Strong attention to detail, with a track record of ensuring data quality, accuracy, and consistency
- Ability to communicate technical outputs clearly to non-technical audiences
- Evidence of working collaboratively across teams and contributing to shared outcomes
- Experience working with cloud-based platforms and tools is essential (e.g. Databricks, Power Platform, Power BI, Azure, or similar)
- Exposure to internal digital tools, data products, or web-based applications would be beneficial
- Demonstrated willingness to learn, develop, and build capability within a data-driven and evolving technical environment
We review applications on a first-come, first-served basis and may close the application window early if we receive a high volume of applications.
Be yourself – Our differences make us stronger. Our customers come from all walks of life and so do our colleagues. That’s why we’re proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong. To make your journey with us accessible and individual to you, we encourage you to let us know if you’d like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team (recruitment@fly.virgin.com), feeling confident that we’ve got your individual considerations covered.
Data Analyst – (Engineering and Maintenance) in Hounslow employer: Virgin holidays
Virgin Atlantic is an exceptional employer for pilots, offering a dynamic work culture at the iconic London Heathrow. With a commitment to employee growth through industry-leading training and a competitive salary, we foster a supportive environment where your passion for flying can truly thrive. Join us in our mission to be the most loved travel company and experience the unique advantages of working with one of the most advanced fleets in the skies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst – (Engineering and Maintenance) in Hounslow
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Virgin Atlantic on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss specific projects where you've built dashboards or models. Show them how your insights made a difference!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your ability to communicate complex data clearly. Practice explaining your past work to someone without a technical background – it’ll impress the interviewers!
✨Tip Number 4
Apply through our website for a smoother process. It shows you're serious about the role and helps us keep track of your application. Plus, you might find additional resources to help you prepare!
We think you need these skills to ace Data Analyst – (Engineering and Maintenance) in Hounslow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data analysis, BI reporting, and any relevant tools like SQL or Python. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how you can contribute to our Engineering & Maintenance team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you’ve worked on any relevant projects, don’t hold back! Include links or descriptions of dashboards, reports, or data models you’ve built. This gives us a clear picture of your capabilities and creativity.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Virgin holidays
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like SQL, Python, and Power BI. Be ready to discuss your experience with these technologies and how you've used them to build dashboards or data models in previous roles.
✨Showcase Your Analytical Skills
Prepare examples of how you've analysed data to identify trends and insights. Think about specific projects where your analysis led to improved decision-making or operational efficiency, and be ready to share these stories during the interview.
✨Understand Stakeholder Needs
Demonstrate your ability to collaborate with stakeholders by preparing to discuss how you've gathered requirements and translated them into actionable data solutions. Highlight any cross-functional projects you've been involved in to show your teamwork skills.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Since you'll be presenting insights to non-technical audiences, think of ways to make your findings accessible and engaging. This will show your ability to bridge the gap between technical and non-technical teams.
