Analytics Engineer III

Would you like to join a high profile team doing outstanding things with data?
Are you passionate about making data clear and engaging?
Do you want to continuously be challenged by innovating and learn new techniques?
As a key member of the Analytics, Products & Visualisation Engineering team, the Analytics Engineer III - Data Science will play a pivotal role in supporting our key partners, ensuring they are able to effectively and quickly turn data into insights, driving business decisions and strategy.
This team build and develop state of the art solutions, collaborating with other teams across the business to build a robust and reliable platform.

What you’ll do:

• Apply advanced analytics techniques, statistical knowledge, and big data handling skills to support our commercial stakeholders’ decision-making
• Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions
• Developing coherent and performant data models that transforms large, complex and disparate datasets into the basis for explorable, understandable and accurate data products
• Be the conduit between the wider business and the analytics engineering team, translating business requirements into technical solutions
• Develop our insights platform by building new features and integrating with other tools/systems
• Investigate and resolve issues across our data architecture and platform
• Display a true passion for data, analytics, online travel / e-commerce and possess a strong commercial awareness

Who you are:

• An experienced analytics engineer with an interest in analysis and storytelling with data
• Strong SQL skills; demonstrated experience of using R / Python to structure, transform and visualize big data, and a willingness to learn new frameworks and languages required for the task
• Experience creating and analysing drivers of performance metrics
• Willingness to learn and come up with creative solutions
• Excellent interpersonal skills and ability to work with all levels of management, across different organizations as well as communicate effectively with non technical audiences
• Attention to detail and a commitment to data integrity