Data Quality Analyst
Ocupare deplină
Société Générale
Nous recherchons un Senior Data Quality Analyst responsable de la gestion opérationnelle des données de référence et du traitement des demandes de Data Management. Le poste consiste à assurer la maintenance des référentiels, appliquer les règles métier associées, accompagner les utilisateurs et contribuer à la qualité et à la cohérence des données tout au long de leur cycle de vie. Le collaborateur participera également aux initiatives d’amélioration continue des processus et de la gouvernance des données. Concrètement, vous serez amené(e) à:
- Analyser les demandes de gestion des données et assurer leur traitement conformément aux règles métier et aux procédures en vigueur.
- Contrôler la cohérence, l'exhaustivité et la qualité des données référentielles.
- Identifier les anomalies, analyser leurs causes racines et proposer les actions correctives appropriées.
- Contribuer à la remédiation des problèmes de qualité des données et au suivi des plans d'actions associés.
- Intervenir en tant qu'expert fonctionnel du référentiel dans le cadre des évolutions organisationnelles, techniques ou des changements de périmètre.
- Organiser et animer les comités hebdomadaires, mensuels et trimestriels pour partager les résultats, les indicateurs de performance et les principaux enjeux avec les directions métier concernées.
- Accompagner et conseiller les utilisateurs dans l'application des règles métier et des processus de gestion des données.
- Collaborer avec les équipes métier, IT et les centres de services afin de garantir la qualité et la fiabilité des données.
- Identifier les risques potentiels liés aux données et effectuer les escalades nécessaires en temps opportun.
- Contribuer à la mise à jour et à l'amélioration continue des procédures, modes opératoires et documentations associées.
- Assurer le partage des connaissances au sein de l'équipe et apporter un support aux collègues lorsque nécessaire.
- Participer aux initiatives d'amélioration continue visant à renforcer l'efficacité, la qualité et la gouvernance des données.
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