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[REPLAY] Data Masterclass #4 - Data Analyse & Acquisition @Papernest

About this event

Dear attendee, welcome to Le Wagon Data Masterclass #4 🔥

We have the pleasure to receive Anaïs Ameslon, Data Analyst @Papernest

In this episode, Anaïs tells you about the importance of Data in Acquisition in her company and explain why Data analyst is a key role between Tech and Business. She is also leading a Live demo on Google Big Query to answer a Paid Acquisition problematic 🚀

As you must have guessed, Le Wagon is really glad to collaborate with Papernest for this Masterclass.

********* Practical information *********

Launch of the Webinar - Introduction and guest presentation

Start of the MasterClass :

  • What is Paid Acquisition from a Data Analyst standpoint? How does it work?
  • Data architecture seen by a Data Analyst
  • Case study with a Paid Acquisition question - Live demo on Google Big Query 🔥
  • Some tips after one year and half in position

The end!

About the Wagon

Through intensive training in Web Development and Data Science, Le Wagon teaches you the essential skills for today and tomorrow. Our programmes of excellence, taught by dedicated instructors, provide you with the skills and tools you need to launch your career in technology, upgrade your skills in your profession, or launch your startup.

About Papernest

Compare, subscribe, cancel subscriptions.. It’s a hell, especially when moving house. Papernest is a free service to make the management of your subscriptions easier, faster and more transparent. We are working on centralising all subscriptions (spotify, netflix, gym etc) to create a platform from which the user can manage, cancel and switch all his contracts and subscriptions and have a clear vision of the budget he allocates to them. Founded in 2015, papernest has since opened offices in Paris and Barcelona for its 700 employees. Today, it helps more than 600 000 users in 4 countries to manage their contracts more serenely.

Hosted by

  • Team member
    Le Wagon Global Le Wagon

  • Guest speaker
    Anais Ameslon Papernest @ Data Analyst

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