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Data Scientist II, Analytics

United Kingdom - London


Advanced Data Insight Analyst II

Interested in applying your analytical mind to how an online travel company grows through marketing activities?

We are looking for a passionate and inquisitive Advanced Data Insight Analyst II to join our Marketing Analytics Team, focusing on cross-channel growth marketing, with the mentality of going after the biggest opportunities as we continue to push forward in this area.

As a core member of our team, you will be applying sophisticated data science techniques to provide essential strategic decision support to the Expedia Group (EG) Growth Marketing teams.

This role will include a variety of exciting projects that you will work on to drive business strategy. Your insights will be used to improve our understanding of the interactions within channels, and how we can optimise and streamline our business decisions at an even faster pace. If you are passionate about results, a self-starter, and have demonstrated success in using analytics to inspire change then this position is for you!

What you'll do

  • Proactively engage with internal and external partners to assess existing and upcoming business needs, presenting your analyses to a wide EG community
  • Build and apply machine learning models, sophisticated analytics techniques, and statistical methods to tackle business problems
  • Full end-to-end responsibility of running projects and solving problems, with the mentorship of a senior analytics manager
  • Collaborate and work with other functions such as finance, growth marketing and other analytic teams to drive positive change
  • Influence partners and senior leaders through communicating across various levels of the organization in a clear and captivating way
  • Pick analytically valid approaches, balancing level of effort, favouring iterative delivery that solves for the objective, not the ask
  • Prioritise multiple tasks and projects simultaneously, with end to end ownership
  • Share expertise and best practises with analytical functions across the business to optimise future workstreams

Who you are

  • 2+ years of experience in data mining, statistical modelling, and business analysis with at least a bachelor’s degree in an analytical field (STEM) required. Advanced degrees/qualifications in the above are a plus but not essential
  • Previous experience in translating complex data findings into clear insights through languages such as SQL, R and Python, with demonstrated ability in big data manipulation
  • Proven commercial sense combined with storytelling abilities to easily communicate this to other teams
  • Have a true passion for data, analytics, online marketing and travel and possess a strong commercial acumen
  • Have an inquisitive nature, able to drill into details, sharing findings in a concise manner
  • Results-oriented and motivated, with a self-responsibility for the insights that you produce

About Expedia Group 

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®,®, Expedia® Partner Solutions, Vrbo®, Egencia®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®,™, and Expedia Cruises™.  

© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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Job Category
Technology Group

Job Function
Data Science

United Kingdom - London
United States - Texas - Dallas

Job Type
Full-Time Regular

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