Data Analyst – (Engineering and Maintenance)

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.

• 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

• 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.

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 ([email protected]), feeling confident that we’ve got your individual considerations covered.