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Avant la formation, tu travaillais au service marketing de Carrefour. Pourquoi as-tu choisi de faire le bootcamp Data Science du Wagon ?<\/h2>
Avant le Wagon, j\u2019\u00e9tais charg\u00e9e d\u2019\u00e9tudes pour Carrefour \u00e0 Sao Paulo (au Br\u00e9sil). Mon travail \u00e9tait d\u2019analyser les performances des magasins du groupe et d\u2019estimer le potentiel (et notamment le chiffre d\u2019affaires) pour les projets d\u2019ouverture de nouveaux magasins. J\u2019analysais \u00e9galement les r\u00e9sultats des enqu\u00eates clients pour comprendre au mieux les attentes du consommateur. 

<\/div>
J\u2019avais d\u00e9j\u00e0 un profil tr\u00e8s analytique, mais \u00e0 mon arriv\u00e9e chez Carrefour j\u2019utilisais essentiellement Excel et les logiciels g\u00e9omarketing pour mes analyses. Au cours de mon exp\u00e9rience, je me suis form\u00e9e \u00e0 Alteryx, Tableau et bri\u00e8vement \u00e0 SQL. J\u2019ai d\u00e9couvert que gr\u00e2ce \u00e0 ces outils je pouvais aller beaucoup plus loin dans mes analyses. Je travaillais \u00e9galement avec beaucoup de data scientists ce qui a largement d\u00e9velopp\u00e9 mon envie d\u2019apprendre \u00e0 programmer (et notamment en Python). 

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En rentrant en France et en regardant les offres d\u2019emploi, je voyais que le fait de me former \u00e0 la programmation me permettrait de compl\u00e9ter mon profil analytique et mon exp\u00e9rience en grande distribution. J\u2019ai donc d\u00e9cid\u00e9 de rejoindre le premier batch en data science du Wagon Bordeaux ! <\/div>

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Comment as-tu connu la formation du Wagon ? Quels crit\u00e8res t\u2019ont amen\u00e9 \u00e0 choisir celle-ci ?<\/h2>
Je connaissais d\u00e9j\u00e0 la r\u00e9putation du Wagon sur le programme Web D\u00e9veloppement<\/a>. J\u2019avais quelques connaissances qui y avaient particip\u00e9 et surtout je savais que les taux d\u2019insertion sur le march\u00e9 du travail \u00e0 l\u2019issue du bootcamp \u00e9taient tr\u00e8s \u00e9lev\u00e9s. 

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Le bootcamp Data Science<\/a> s\u2019est lanc\u00e9 pile au moment o\u00f9 je suis rentr\u00e9e en France et o\u00f9 j\u2019\u00e9tais \u00e0 la recherche de nouvelles opportunit\u00e9s. Je me suis bien renseign\u00e9e et ai \u00e9chang\u00e9 avec Bertrand Bussac pour \u00eatre s\u00fbre que le programme du bootcamp correspondait bien \u00e0 mes attentes ! 

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Je pense qu\u2019il est important de comprendre que la formation propos\u00e9e par le Wagon ne forme pas seulement des ing\u00e9nieurs aux profils tr\u00e8s techniques et cherchant \u00e0 devenir data scientists : elle peut \u00e9galement ouvrir des portes \u00e0 des profils business (avec un background math\u00e9matique\/ analytique) qui souhaitent devenir data analystes. 
 <\/div>

Que retiens-tu de ton exp\u00e9rience au Wagon Bordeaux ?<\/h2>
Une formation tr\u00e8s intense mais incroyablement solide. En 9 semaines, on apprend \u00e0 programmer mais \u00e9galement \u00e0 d\u00e9velopper des mod\u00e8les de machine learning et de deep learning ! Les professeurs sont tr\u00e8s comp\u00e9tents et toujours disponibles pour nous aider. <\/div>
Le travail des deux derni\u00e8res semaines sur un projet en groupe permet \u00e9galement de confirmer nos acquis et de montrer ce qu\u2019on a \u00e9t\u00e9 capable de d\u00e9velopper en si peu de temps. <\/strong><\/blockquote><\/blockquote>
Malgr\u00e9 le covid, l\u2019ambiance a \u00e9galement toujours \u00e9t\u00e9 tr\u00e8s agr\u00e9able. 
 <\/div>

Tu as d\u00e9croch\u00e9 un poste en Data \u00e0 peine deux mois apr\u00e8s la fin de ta formation. Quels conseils pourrais-tu donner concernant l\u2019apr\u00e8s Wagon ?<\/h2>
Je pense que l\u2019important est d\u2019\u00eatre pr\u00e9cis dans ses recherches. Il faut prendre le temps de bien d\u00e9terminer les postes recherch\u00e9s \/ le projet professionnel. <\/div>
Pendant les recherches, il faut continuer \u00e0 travailler la partie technique acquise pendant le Wagon pour ne pas la perdre (surtout que pour les postes en data, il y a souvent des tests techniques qui sont demand\u00e9s). Cependant, il ne faut pas seulement se focaliser sur les comp\u00e9tences techniques car bien souvent ce qui fait la diff\u00e9rence c\u2019est l\u2019exp\u00e9rience professionnelle et les soft skills acquises ! 
 <\/div>

Tu travailles d\u00e9sormais en tant que Data Analyst Retail chez Paylead, quelles sont tes nouvelles missions ?<\/h2>
PayLead<\/a> est une fintech sp\u00e9cialis\u00e9e dans le paiement marketing. Nous cr\u00e9ons des exp\u00e9riences de rewards personnalis\u00e9es, via des applications bancaires, qui g\u00e9n\u00e8rent des ventes en ligne et en magasins pour des marchants partenaires. Nous avons, donc, acc\u00e8s \u00e0 \u00e9norm\u00e9ment de data via les transactions bancaires ! 

<\/div>
De mon c\u00f4t\u00e9, en tant que data analyst, je g\u00e8re l\u2019accompagnement de nos clients. Ainsi, une fois partenaire avec PayLead, je suis en charge de r\u00e9pondre aux besoins de nos clients. Je leur fournis des bilans de performances sur leurs campagnes en cours, mais aussi des insights tr\u00e8s int\u00e9ressants sur le comportement des consommateurs. Je r\u00e9pond \u00e9galement \u00e0 tous les besoins d\u2019\u00e9tudes qu\u2019ils pourraient avoir. <\/div>
Mon but est vraiment de faire parler la donn\u00e9e provenant des transactions bancaires pour r\u00e9pondre aux probl\u00e9matiques de nos clients. <\/strong><\/blockquote><\/blockquote>
Je fournis \u00e9galement ponctuellement des \u00e9tudes de march\u00e9 pour le Blog de PayLead.<\/div>","_contenu_de_larticle":null,"titre_de_la_banniere":null,"_titre_de_la_banniere":null,"paragraphe_de_la_banniere":null,"_paragraphe_de_la_banniere":null,"intitule_du_bouton_de_la_banniere":null,"_intitule_du_bouton_de_la_banniere":null,"lien_du_bouton_de_la_banniere":null,"_lien_du_bouton_de_la_banniere":null,"yoast_head":"\nSe former \u00e0 la Data et trouver un nouveau poste en moins de 3 mois : le parcours exemplaire de Marie | Le Wagon<\/title>\n<meta name=\"description\" content=\"Apr\u00e8s plusieurs ann\u00e9es au Br\u00e9sil en tant que charg\u00e9e d'\u00e9tudes pour Carrefour, Marie est revenue en France \u00e0 la recherche de nouvelles opportunit\u00e9s professionnelles. 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