Analytics Engineer
Il y a 4 mois
Argon & Co :
Argon & Co est un cabinet de conseil en management international spécialisé dans la stratégie et la transformation des opérations. Fort d'une expertise reconnue dans les domaines de la Supply Chain, des achats, de la finance et des fonctions support, nous accompagnons nos clients dans leurs transformations pour atteindre des résultats tangibles et pérennes.
Avec plus de 270 consultants dans le monde à travers nos sept bureaux (Paris, Londres, Abu Dhabi, Atlanta, Singapour, Melbourne et Mumbai), nous avons la possibilité d'accompagner nos clients au niveau local tout en bénéficiant de notre connaissance des meilleures pratiques à l'échelle internationale.
Nous sommes reconnus par Gartner et, le magazine Capital et le Financial Times comme un cabinet de conseil leader dans le domaine des opérations.
IRIS by Argon & Co
IRIS est une équipe de 30 spécialistes de la Data et AI (Data scientists, Data analysts, Data engineers, Project managers), combinant expertise technologique et connaissance des métiers des opérations. Nous délivrons des solutions innovantes sur tous les domaines des opérations, depuis l'idéation jusqu'à l'industrialisation des cas d'usages et la transformation des processus associés.
Votre Mission :
En tant que Consultant / Data Analyst au sein d'IRIS, vous serez amené à intervenir sur toute la chaîne de valeur des projets Data auprès de clients issus de secteurs d'activité variés:
- Comprendre les problématiques des équipes métier et le contexte (équipes, processus) dans lequel le projet s'inscrit
- Participer au cadrage des collectes de données, réaliser le traitement de ces données
- Réaliser les analyses et restituer les résultats auprès d'interlocuteurs métiers, en mettant en pratique les techniques de visualisation de la donnée
- Développer et déployer les solutions les plus appropriées : rapport d'analyses, tableaux de bord, applications métier
- Communiquer sur l'avancement du projet et mettre en valeur la valeur ajoutée des solutions développées pour le client
En complément, vous aurez l'occasion de participer au développement entrepreneurial d'IRIS :
- Participer aux activités R&D de l'équipe : développer des outils utilisés en interne, concevoir de nouveaux cas d'usage métiers
- Contribuer à la capitalisation et au partage de connaissance au sein de l'équipe IRIS
- Maintenir une veille technologique et apporter des nouvelles idées à l'équipe
Exemples de projets types : pilotage de la performance de la Supply-Chain, performance des prévisions de ventes, réalisation d'outils en support du processus S&OP, optimisation de l'assortiment produits, monitoring des cadences de production,
La vie au sein du cabinet :
A votre arrivée, un parrain vous est attribué, vous accompagnant tout au long de votre progression au sein d'IRIS by Argon & Co. Les formations dispensées dans le cabinet vous permettront de développer votre connaissance des métiers des Opération, vos compétences de gestion de projet et de conseil et vos connaissances Data / BI.
Enfin, vous pourrez participer à de nombreux projets internes rythmant la vie du cabinet : évènements festifs, contribution à la communication digitale, engagements RSE, humanitaire, boîtes à outils du consultant, etc.
Profil recherché :
Vous êtes issus d'une formation Grande Ecole d'ingénieur, avec une spécialisation en Data Science ou sur les métiers des Opérations (Génie industriel, Supply-Chain, Finance d'entreprise)
- Vous disposez d'au moins 6 mois d'expérience (stages inclus) sur un poste avec une forte dimension analytique (Data analyst, Business analyst, demand ou supply planner)
- Vous maîtrisez les bases du langage SQL et des concepts de bases de données
- Vous avez des compétences en techniques et outils de Data Visualisation (Power BI, Tableau, Qlik)
- Vous avez une approche réaliste et pragmatique permettant d'appréhender rapidement les problématiques métier
- Vous faites preuve d'autonomie, de clarté, d'initiative et d'organisation
Les plus :
- Vous pouvez également mobiliser le langage Python pour l'analyse de données
- Vous maîtrisez l'usage du version control (Git)
- Vous avez connaissance d'un écosystème Cloud (Azure, GCP, AWS) et de ses produits
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