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- Tasks: Design and build cloud-native data workflows to turn raw travel data into insights.
- Company: Travelport, a global leader in travel retail with a winning culture.
- Benefits: Flexible working arrangements, engaging culture, and opportunities for growth.
- Why this job: Make a real impact from day one while exploring exciting data challenges.
- Qualifications: Recent graduate in Data Science or related field with a passion for data.
- Other info: Inclusive workplace that encourages bold thinking and continuous learning.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Analytics Engineer | LANGELY, UK
Travelport is a place of opportunity. It’s our incredible team that makes our company great – our people drive our winning culture.
What’s Travelport?
Travelport is a worldwide travel retail platform. Our next-generation marketplace connects buyers and sellers that share our passion for delivering exceptional travel experiences. Unconflicted and independent, we are reinventing a simpler future for travel’s complex ecosystem.
What does a great Analytics Engineer do?
We’re looking for a curious and driven graduate who is excited by the possibilities in data. As an Analytics Engineer II, you’ll design and build cloud-native data workflows that translate raw travel data into meaningful insights. Your insights will fuel everything from customer experience to key business decisions that shape Travelport’s future.
The successful candidate will have the opportunity to work with a huge variety of data and the latest technologies. This position will suit someone looking to start their career in a role where they will have a real business impact from day 1. An ideal candidate will be pro-active, bringing their own ideas and looking to actively contribute to the success of Travelport.
Responsibilities:
- Develop and maintain scalable data pipelines in AWS environments (e.g., S3, Lambda, Glue, Redshift)
- Build clean, reusable data models supporting analytics across airlines, hotels, and agencies
- Collaborate with cross-functional teams to understand challenges and deliver real-time, data-led solutions
- Contribute to data quality, documentation, and governance initiatives
- Explore and interpret partner, traveler, and marketplace data to uncover patterns and insights
- Apply the appropriate data visualizations and illustrations for easy comprehension by non-technical stakeholders
- Learn continuously, leveraging training resources and self-directed training, sharing knowledge and skills with others
- Create effective presentations on the analytical findings and ideas for internal and external customers
What we look for/who would prosper in this role?
- Recent graduate in Data Science, Engineering, Mathematics, or a related field
- Innate curiosity and a strong desire to understand and use data to solve real-world problems
- Strong communication, collaboration, and eagerness to learn from others
- The ability to communicate and work effectively with business stakeholders across a wide variety of areas including sales, account management, product, technology and finance
Nice to have:
- Familiarity with AWS services and cloud data platforms
- Exposure to Python for data manipulation and scripting
- Knowledge of modern data stack tools (e.g., dbt, Airflow, Snowflake) is a plus
- SQL experience is beneficial
As we evolve and grow as a business, so will you.
You will thrive within an inclusive and diverse workplace where you are encouraged to think differently, and have the courage, confidence & ambition to challenge what’s been done before, and be bold to win!
These are just a few of our employee’s favourite benefits/perks…
- Excellent flexibility in working arrangements, where working from our offices and from home are welcomed and encouraged.
- Travelport’s “people first culture” provides for highly engaging and transparent relationships among employees and line managers.
Interested? We’d love for you to get in touch!
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Analytics Engineer - Entry level employer: Travelport
Contact Detail:
Travelport Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer - Entry level
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, even if they're personal or academic. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to analytics. Use mock interviews with friends or online platforms to build confidence and refine your answers.
✨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 are proactive about their job search!
We think you need these skills to ace Analytics Engineer - Entry level
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight any relevant projects or coursework that showcase your data skills and familiarity with tools like AWS or SQL. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data and how you can contribute to Travelport’s mission. Share specific examples of your curiosity and problem-solving skills, and don’t forget to mention why you’re excited about this opportunity with us.
Showcase Your Projects: If you've worked on any data-related projects, whether in school or on your own, make sure to include them in your application. We love seeing practical examples of your work, especially if they demonstrate your ability to turn raw data into insights. It’s all about showing us what you can do!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, it shows us you’re serious about joining our team at Travelport!
How to prepare for a job interview at Travelport
✨Know Your Data Tools
Familiarise yourself with AWS services and any data tools mentioned in the job description, like SQL or Python. Being able to discuss how you've used these tools in your studies or projects will show your enthusiasm and readiness for the role.
✨Show Your Curiosity
Prepare examples that demonstrate your curiosity about data. Think of times when you went beyond the surface to explore data patterns or insights. This will resonate well with Travelport's desire for a candidate who is eager to learn and solve real-world problems.
✨Practice Your Communication Skills
Since you'll be working with various stakeholders, practice explaining complex data concepts in simple terms. You might even want to prepare a mini-presentation on a data project you've worked on, showcasing your ability to communicate effectively.
✨Be Ready to Collaborate
Think of examples where you've successfully worked in a team. Travelport values collaboration, so be prepared to discuss how you can contribute to cross-functional teams and help deliver data-led solutions.