At TUI, we’re on a mission to become the most digital, data-driven travel company in the world. Our Airline Data Science & Analytics team plays a key role in that journey—delivering innovative data solutions and accelerating digital maturity across our global airline operations.
We’re looking for a Data Analyst who’s passionate about solving complex problems, uncovering insights, and driving business impact through data. If you’re a curious thinker, a strong collaborator, and thrive in a fast-paced, agile environment—this could be your next adventure.
We are happy to consider this opportunity on a hybrid working model basis in line with local office attendance requirements. International travel should be expected so flexibility is required in this regard.
The role will be published until 1st May 2026.
ABOUT OUR OFFER
1. Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more.
2. Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment.
3. A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions.
4. Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams
5. Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation.
ABOUT THE JOB
6. Collaborate with cross-functional teams to define business problems and translate them into analytical solutions.
7. Break down complex challenges, identify relevant data sources, and deliver high-quality data products and dashboards.
8. Dive deep into cloud databases and data pipelines to extract, transform, and analyse data using SQL and Python.
9. Present insights through compelling storytelling and data visualizations that drive decision-making.
10. Support the development of predictive models and machine learning solutions.
11. Automate recurring manual data tasks
12. Contribute to agile delivery by writing user stories, acceptance criteria, and participating in sprint planning.
ABOUT YOU
13. Strong analytical mindset and experience with large datasets and exploratory data analysis.
14. Proficiency in SQL and Python (Pandas, NumPy, Scikit-learn).
15. Solid understanding of statistical concepts and data modelling.
16. Experience with data visualization tools (e.g., Power BI, Tableau).
17. Familiarity with cloud data platforms and enterprise data warehouse structures.
18. Ability to communicate complex findings to both technical and non-technical stakeholders.
19. Hands-on experience in tools like Alteryx, Power Query, or other low-code/no-code data automation platforms is a plus
20. A good understanding of agile/lean software delivery methodology, tools and techniques and the software development lifecycle including knowledge of Scrum and Kanban
21. A continuous learner who thrives in ambiguity and takes ownership of their work.
#LI-CP1 #LI-Hybrid
From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless.
We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.
Security Clearance Statement
At TUI, safety is our top priority. We conduct thorough background checks on all employees who join our Airline. Rest assured; we’ll guide you on the necessary information you need to provide at each stage.
Please note that if you are applying for a role in the UK, you must ensure you can provide a full 5 years referencing, plus a criminal record check for all countries you’ve resided in for more than 6 months in the past 5 years (some costs may apply).