At a Glance
- Tasks: Analyse digital performance and deliver actionable insights to drive business decisions.
- Company: Join Virgin Atlantic, a leader in the aviation industry with a focus on data-driven strategies.
- Benefits: Enjoy a competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Be part of a diverse team that values innovation and continuous improvement.
- Why this job: Shape the future of digital commerce using cutting-edge analytics and AI technologies.
- Qualifications: Experience in ecommerce analytics and strong skills in SQL, Python, and Power BI.
The predicted salary is between 40000 - 50000 £ per year.
Salary: Competitive
Hours: 37.5 hours, Mon – Friday
Location: Hybrid, 3 days per week at VHQ, Crawley
Contract: Permanent
Closing Date: 19th July 2026
In a nutshell
At Virgin Atlantic, data is at the heart of every decision we make. From understanding how customers interact with our digital channels to identifying new commercial opportunities, we're using insight to create better experiences and drive sustainable growth. We're looking for a Performance Specialist to join our E-Commerce team. This is an exciting opportunity to shape how we measure performance, forecast future trends and deliver actionable insights that influence decisions across Virgin Atlantic Airways and Virgin Atlantic Holidays.
The role
As our Performance Specialist, you'll be responsible for delivering meaningful performance insight that enables smarter, faster business decisions. You'll analyse digital trading performance, develop forecasting models and build intuitive reporting that gives stakeholders a clear understanding of what is happening, why it's happening and what we should do next. You'll also play a key role in developing our AI-powered Intelligence Hub, helping to automate insight generation and build predictive capabilities that support the future of digital commerce at Virgin Atlantic.
Day to day
- Analyse digital performance across Virgin Atlantic Airways and Virgin Atlantic Holidays, identifying opportunities to increase revenue, conversion and customer engagement.
- Produce insightful reporting and commercial recommendations that support trading decisions and strategic planning.
- Design, develop and maintain dashboards, semantic data models and automated reporting using SQL, Python, Databricks and Power BI.
- Develop forecasting models that support budgeting, sales planning and commercial decision making.
- Help shape and evolve our AI-powered Intelligence Hub, creating predictive insights and intelligent reporting capabilities.
- Monitor customer behaviour, digital trends and market performance to identify emerging opportunities and risks.
- Champion data quality, governance and reporting best practice while driving automation and continuous improvement.
- Build strong relationships with stakeholders across Digital, Commercial, Marketing, Finance, Revenue Management and Technology, translating complex analytics into compelling business stories.
About you
You’ll be naturally curious, commercially minded and passionate about using data to solve business challenges. You’ll also bring:
- Experience in digital performance, ecommerce analytics, business intelligence or commercial analytics.
- Strong technical skills using SQL, Python, Databricks and Power BI.
- Experience developing dashboards, automated reporting and scalable analytical solutions.
- Knowledge of forecasting techniques and predictive analytics.
- A strong understanding of digital performance metrics, customer behaviour and online trading.
- Experience using AI or advanced analytics to generate business insight.
- Excellent communication and stakeholder management skills, with the ability to influence through data.
- A collaborative approach and the confidence to challenge thinking through evidence and insight.
- A continuous improvement mindset with a passion for innovation and automation.
Be yourself. Our differences make us stronger. Virgin Atlantic are committed equal opportunities employers and positively encourage applications from suitably qualified and eligible applicants regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy and maternity. Diversity brings strength which is why we strive to provide an inclusive environment where individuality is celebrated, and we can ignite the potential of our forward-thinking mix of people.
Please be aware as part of our recruitment process we may look to use a variety of resourcing tools to help us understand your skills and experience in relation to the role you have applied for. These may include application questions, video interviews or online testing. Please feel free to contact us at recruitment@fly.virgin.com if there are any reasonable adjustments to our process that you would like us to consider, for example use of hearing loops, sign language interpreter etc. Please don’t hesitate to reach out if there are any issues preventing you from being at your best during your application or assessment process. Any issues raised after your assessment is completed or once a decision has been made will be too late for us to consider within our process.
Performance Specialist in Crawley 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 Performance Specialist in Crawley
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We think you need these skills to ace Performance Specialist in Crawley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Virgin holidays, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Virgin holidays. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Virgin holidays
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Virgin holidays!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
