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For Companies At a Glance
- Tasks: Join us as a Senior Analyst to shape data products and support development teams.
- Company: Be part of Virgin Atlantic, a leading travel company committed to innovation and inclusivity.
- Benefits: Enjoy hybrid work, collaboration opportunities, and a supportive environment that values diversity.
- Why this job: Make an impact by enhancing user understanding and driving adoption of cutting-edge data solutions.
- Qualifications: Bachelor's in Data Science or related field; experience in data analysis and product development required.
- Other info: We celebrate diversity and encourage applications from all backgrounds to create an inclusive workplace.
The predicted salary is between 42000 - 84000 £ per year.
Location: Hybrid, 3 days a week in our VHQ, Crawley
Contract: Permanent
In a nutshell
Are you ready to play a crucial role in shaping the future of data products at Virgin Atlantic? As a Senior Analyst - Data Product, you will provide essential technical analysis and support to Data Product Managers, working closely with development teams to ensure that our data products not only meet but exceed both technical and user requirements. In this key position, you will gather and document business requirements for data products, leading workshops to refine user stories and ensure everything aligns with the evolving needs of the business. Your expertise in creating and maintaining detailed technical documentation and user stories will ensure that all relevant stakeholders have the information they need, when they need it. You will take a hands-on approach in conducting workshops and training sessions that enhance user understanding and drive adoption of our data products. Your ability to foster effective communication and collaboration across teams will be instrumental in ensuring smooth and successful product delivery.
Day to day
- Determine and analyse data requirements for various projects and initiatives.
- Collaborate with teams from various departments to develop and implement data products and solutions.
- Conduct thorough data analysis to identify trends, patterns, and insights.
- Design and maintain data models and databases to ensure flawless data integration and availability.
- Develop and implement data quality assurance procedures and standards.
- Stay updated on the latest trends and advancements in data analysis and data product development within the industry.
- Provide guidance and support to junior analysts in data analysis and product development.
About you
- Bachelor's degree in Data Science, Information Technology, Computer Science, or a related field, or equivalent practical experience.
- Experience in a similar role, emphasizing data analysis and product development.
- Solid understanding of data modelling, database design, and data integration techniques.
- Proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI.
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Strong interpersonal skills and the ability to work collaboratively with diverse teams.
Our recipe for leadership
At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. Explore our Leadership Recipe and discover the 20 core ingredients that define what it means to lead with us, driving our mission to be the most loved travel company and achieve sustainable profit.
Want to learn more? Click here
Be yourself
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, feeling confident that we’ve got your individual considerations covered.
Senior Analyst – Data Product employer: Virgin holidays
Contact Detail:
Virgin holidays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst – Data Product
✨Tip Number 1
Familiarise yourself with the latest trends in data analysis and product development. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the data product field, especially those who work at Virgin Atlantic or similar companies. Attend industry events or webinars to connect with potential colleagues and learn more about the company culture and expectations.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully collaborated with diverse teams in previous roles. Highlight your experience in leading workshops and training sessions, as this aligns closely with the responsibilities of the Senior Analyst position.
✨Tip Number 4
Brush up on your SQL and Python skills, as well as your proficiency in data visualisation tools like Tableau or Power BI. Being able to demonstrate your technical abilities during the interview will set you apart from other candidates.
We think you need these skills to ace Senior Analyst – Data Product
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Analyst – Data Product position. Familiarise yourself with data analysis, product development, and the specific tools mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in data analysis and product development. Emphasise your proficiency in SQL, Python, and any data visualisation tools like Tableau or Power BI, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data products and your ability to collaborate across teams. Mention specific examples of how you've successfully gathered business requirements or led workshops in previous roles.
Highlight Soft Skills: In your application, don't forget to mention your strong interpersonal skills and your ability to work collaboratively. These qualities are essential for fostering effective communication and ensuring smooth product delivery.
How to prepare for a job interview at Virgin holidays
✨Understand the Role
Make sure you have a clear understanding of the Senior Analyst - Data Product role. Familiarise yourself with the key responsibilities, such as gathering business requirements and conducting data analysis. This will help you articulate how your skills and experiences align with what the company is looking for.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL, Python, and data visualisation tools like Tableau or Power BI. Consider bringing examples of past projects where you successfully used these skills to solve problems or deliver insights, as this will demonstrate your capability in a practical context.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with various teams, think of examples that showcase your interpersonal skills and ability to collaborate effectively. Be ready to discuss how you've facilitated workshops or training sessions in the past, as this aligns with the job's requirements.
✨Stay Updated on Industry Trends
Research the latest trends in data analysis and product development. Being knowledgeable about current advancements will not only impress your interviewers but also show your commitment to continuous learning and improvement in the field.
