Analytics Internship (6 months)
Expedia group
Genève, Canton de Genève, Switzerland
vor 1 Std.
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Description du poste : Expedia Location : Geneva Start date : August 2019 Duration : 6 months full time placement Eligibility Criteria :

  • Final or penultimate year of a Statistics, Mathematics, Analytics, Economics or Business
  • Please ensure you apply with yourCV in English Application process :
  • Online Application Form
  • HireVue (video interview)
  • Interview day Do you have a passion for solving complex problems and driving big decisions using data and models? 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. Our analytics interns usually work in analysing the impact of marketing campaigns and support in developing analytical models to estimate the effect of different business scenarios. What you'll do :

  • Partnering with the entire organisation, from different groups and teams in the business (Sales, Finance, Product, Customer Operations), supporting the leadership team and external partners to provide insights
  • Understand business problems, identify the key challenges, provide / prototype solutions, and solve using statistical analysis and tools
  • Define and solve problems by using available data and reason-based assumptions
  • Turn massive amounts of data into actionable insights to help drive improvements for customers, for the business, and for our operations
  • Identify data sources, and correlate data across them, to develop insights that drive operational improvements
  • Support, influence and challenge business decisions with data and timely & insightful analyses
  • Communicate analysis findings and recommendations, both strategic and tactical to colleagues, partners, and leadership in a clear, concise, and influential manner Who you are : You'll fit this role if you have :
  • Currently enrolled at a university graduating December 2019 or Spring 2020
  • Pursuing a Bachelor's or Master's degree in Statistics, Mathematics, Analytics, Economics or Business
  • Classes or projects in SQL, Statistics, Modeling, Dedicated tools like R, SAS
  • Strong problem-solving skills, self-motivation and the capacity to work under pressure and tight deadlines Why join us : Expedia Group recognizes our success is dependent on the success of our people.
  • We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business.

    Our brands recognize the power of travel to break down barriers and make people's lives better - that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.

  • Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal;
  • to bring the world within reach.

    We relentlessly strive for better, but not at the cost of the customer.

    We act with humility and optimism, respecting ideas big and small.

    We value diversity and voices of all volumes.

    We are a global organization but keep our feet on the ground so we can act fast and stay simple.

    Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.

    If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.

    Our family of travel brands includes : Brand Expedia®,®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions,™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc.

    ALICE and Traveldoo®. #LI-MW1 Expediais committed tocreating an inclusivework environment witha 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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