Analytics Placement at Expedia

Placement Year (10 Months+)
Application Deadline
Central London and City
Role May Involve
Business Analytics Business Intelligence Internet/e-Commerce/New Media Mathematics/Statistics

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Expedia Overall Rating

- 34 reviews

About Expedia

At Expedia we are revolutionising travel through the power of technology. Every second of every day, we send two travellers on a trip. We sell enough tickets to fill nearly six hundred 737 airplanes every single day, and our mobile apps have been downloaded more than 10 million times across 180 countries.

Expedia's big data platform will be your playground. We apply state of the art techniques to large datasets in order to understand the ever-changing online travel market. We test everything through validated learning (A/B testing) - from new functionality within our apps and websites, to analysing results from initiatives and campaigns; yielding fascinating customer insights and driving massive business growth. Data is at the centre of everything we do; personalising the experience of our customers with near real-time decision-making.

Analytics Placement

Expedia offers 1 year placement internships aligned to a UK sandwich year course.

  • Internship start date: 18th June 2018
  • Internship end date: 14th June 2019

Product Analytics:

Are you a motivated, talented student looking to join our successful Product Analytics Team, handling 87 sites in 36 languages? You will directly own live-site experiments (AB/Multivariate) from test planning to analysis, recommendations and action. This includes identifying and specifying any necessary reporting improvements for effective visitor behaviour analysis, make best use of resources and technologies, and deliver hundreds of millions of dollars of business value. In addition you will take an analytical approach to own all deployment activities of our test platform to help drive our ever growing experimentation program.

Throughout your placement, you will develop experience with web analytics tools (Adobe Analytics, Google Analytics etc.) and Experience with online experimentation via proprietary or off-the-shelf products (e.g. SiteSpect, Test&Target, Optimizely, Maxymizer etc.)

A sharp focus on getting results and insights using the most practical and fastest approach will see you excel in your placement.

What we're looking for in you:

  • Pursuing a degree in a quantitative discipline such as Statistics, Mathematics, Engineering, Economics or Operations Research
  • Shown analytical and conceptual thinking skillset through your studies
  • Strong business sense to combine with analytics to help drive recommendations
  • Excellent MS Excel skills required
  • Working knowledge of SQL and/ or relational databases is a plus; on-the-job training will be provided - so your quick ability to learn will go far!
  • Ability to perform in a high-pressure, dynamic environment and be comfortable with a high level of ambiguity
  • Strong attention to detail, high energy, and a can-do, team focused attitude.
  • Excellent communication & interpersonal skills

How to apply

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