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traitement et l’analyse des données, afin de permettre aux équipes métiers de prendre des décisions éclairées basées sur des informations fiables et de qualité.Responsabilités :\n Conception et développement:\nConcevoir des solutions techniques performantes et évolutives pour l’intégration et le traitement des données.\nDévelopper et automatiser les flux d’extraction, transformation et chargement (ETL/ELT) à partir de sources multiples et hétérogènes.\nRédiger et maintenir des scripts de traitement et adapter les procédures en fonction des évolutions métiers et techniques.\nMaintenance et évolution:\nAssurer la maintenance corrective et évolutive des applications et interfaces de données.\nGarantir la conformité des traitements aux exigences de sécurité et aux standards qualité.\nSupervision et qualité des données:\nSuperviser les flux de données en production, monitorer les processus ETL et les interfaces.\nMettre en place des contrôles et tests unitaires pour assurer la qualité, la cohérence et la fiabilité des données.\nIdentifier et résoudre les anomalies ou incohérences dans les données.\nAnalyse et reporting:\nComprendre les besoins métiers pour construire des reportings pertinents et fiables.\nConcevoir et réaliser des tableaux de bord et visualisations adaptés aux publics cibles, en appliquant les bonnes pratiques de data visualisation.\nCollaborer avec les équipes métiers pour valider les livrables et ajuster les indicateurs clés.\nDocumentation:\nDocumenter les développements, les flux de données, les formats d’entrée/sortie et les règles métiers associées.\nAssurer la traçabilité des modifications techniques et fonctionnelles.\nCompétences requises:\n Techniques :Maîtrise des technologies ETL/ELT et des langages de script, notamment Python et Databricks.\nMaîtrise avancée d’Excel pour le traitement et l’analyse des données.\nExpérience en environnements cloud (GCP / AWS / Azure).\nMaîtrise des outils de reporting et datavisualisation (Power BI / Tableau 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