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- Tasks: Analyse data to support decision-making and solve complex business challenges.
- Company: Join Virgin Atlantic, a diverse and inclusive workplace.
- Benefits: Hybrid working, competitive salary, and opportunities for personal growth.
- Other info: Embrace a culture of inclusivity and support throughout your career journey.
- Why this job: Make an impact by translating data into actionable insights.
- Qualifications: Degree in a relevant field and strong data analysis skills.
The predicted salary is between 28800 - 48000 £ per year.
Hours: 37.5 per week, Monday to Friday
Location: Hybrid working with up to 3 days per week at our VHQ, Crawley, West Sussex
Contract: Permanent
Closing date: 2nd February
Perform detailed data analysis to support decision-making and resolve complex business questions.
Investigate data from multiple sources, identifying inconsistencies, trends, and drivers of performance.
Collaborate with stakeholders to frame analytical problems, define assumptions, and agree appropriate approaches.
Develop and apply suitable statistical and analytical methodologies, using judgement to select the right techniques.
Translate analysis into clear, evidence-based recommendations tailored to the audience, deploying techniques such as data visualisation, storytelling, and presentations.
Monitor data quality, highlight limitations, and ensure analytical outputs are robust and well-understood.
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or a related field, or equivalent experience.
- Strong experience in data analysis, including interpreting complex datasets and handling ambiguity.
- Proficiency in SQL and/or Python, with the ability to explore, transform, and analyse data efficiently.
- Demonstrated analytical thinking, including forming assumptions, validating hypotheses, and assessing materiality.
- Ability to communicate analysis clearly to both technical and non-technical stakeholders.
- Strong attention to detail, with the ability to manage competing priorities and deadlines.
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.
Analyst – Analytics And Insights in Crawley Down employer: Virgin holidays
Contact Detail:
Virgin holidays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst – Analytics And Insights in Crawley Down
✨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 practising common analytical questions. Think about how you’d approach data problems and be ready to showcase your SQL or Python skills. We want to see your thought process in action!
✨Tip Number 3
Show off your storytelling skills! When discussing your past projects, focus on how you translated complex data into clear recommendations. Remember, it’s all about making your analysis relatable to both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Analyst – Analytics And Insights in Crawley Down
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Analyst role. Highlight your experience with data analysis, SQL, and Python, and show how your skills align with the job description. We want to see how you can contribute to our team!
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Use examples from your past experiences where you’ve tackled complex datasets or solved analytical problems. This will help us see your thought process and problem-solving abilities.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point, making it easy for us to understand your qualifications.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do—just follow the prompts and you’ll be set!
How to prepare for a job interview at Virgin holidays
✨Know Your Data Inside Out
Before the interview, dive deep into your past data analysis projects. Be ready to discuss specific datasets you've worked with, the methodologies you applied, and the insights you derived. This will show your analytical thinking and ability to handle complex data.
✨Master SQL and Python Basics
Brush up on your SQL and Python skills. Prepare to answer technical questions or even solve problems on the spot. Practising common queries and data manipulation techniques can give you the confidence to showcase your proficiency during the interview.
✨Communicate Clearly and Effectively
Practice translating complex analyses into simple, clear recommendations. Think about how you would explain your findings to both technical and non-technical stakeholders. This skill is crucial for the role, so be prepared to demonstrate it through examples.
✨Showcase Your Attention to Detail
During the interview, highlight instances where your attention to detail made a difference in your work. Discuss how you ensure data quality and robustness in your analyses. This will resonate well with the interviewers, as they value precision in analytical outputs.