Data Insights Engineer III

3 days ago

London, Greater London, United Kingdom Expedia Group Full time

About the Role:

We are seeking a highly skilled Data Insights Engineer III to join our Analytics, Products & Visualisation Engineering team at Expedia Group. As a key member of this team, you 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 builds and develops state-of-the-art solutions, collaborating with other teams across the business to build a robust and reliable platform.

Key Responsibilities:

  • 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
  • Develop coherent and performant data models that transform 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

Requirements:

  • 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 analyzing 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

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