{"id":3939058,"url":"https://alion.io/job/segula-technologies-ingenieur-data-analytics-hf","title":"Ingénieur Data Analytics H/F","company":{"id":53033,"name":"SEGULA Technologies","domain":"segulatechnologies.com","url":"https://alion.io/company/segula-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"DigitalRecruiters","truth_index":{"grade":"A","score":100,"open_postings":14,"ghost_share":0,"stale_share":0,"repost_share":0.071,"time_to_fill_p50_days":13,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Kanban","optional":false},{"name":"Scrum","optional":false}],"status":"live","first_seen_at":"2026-11-08T11:39:36Z","employer_posted_date":"2026-11-08","last_verified_at":"2026-11-09T04:15:17Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Concevoir, développer et industrialiser les solutions de transformation et de modélisation des données destinées à améliorer la performance opérationnelle.\nAu sein de l'équipe Data Digital In Store, l'Analytics Engineer garantit la disponibilité de données fiables, structurées et exploitables pour alimenter les tableaux de bord, les analyses métiers, les modèles d'intelligence artificielle et les outils d'aide à la décision.\nSon objectif est de transformer les données en véritables leviers d'efficacité pour les collaborateurs, notamment sur les domaines Supply Chain et Production.\nPRINCIPALES RESPONSABILITÉS:\n\nIndustrialisation des pipelines Data : concevoir, automatiser et optimiser les pipelines de transformation des données pour les besoins analytiques, les dashboards et les modèles IA.\n Modélisation des données : construire et maintenir les modèles de données et la couche sémantique (Semantic Layer) des domaines métiers Supply Chain et Production.\nArchitecture et stratégie technique : contribuer à la définition et à l'évolution de la stack Data, en garantissant la performance, la scalabilité et la fiabilité des solutions.\n Qualité et gouvernance des données : mettre en place les contrôles de qualité, assurer la traçabilité (Data Lineage), la documentation et la gouvernance des datasets.\nOptimisation des solutions existantes : maintenir, faire évoluer et repenser les datasets et pipelines afin de répondre à de nouveaux cas d'usage métiers.\n Collaboration et amélioration continue : travailler avec les Data Engineers, Data Analysts, équipes métiers et communautés techniques, dans un environnement Agile (Scrum / Kanban)\nLIVRABLES ET RÉSULTATS ATTENDUS: \nPipelines de transformation de données automatisés et industrialisés.\nModèles de données dimensionnels et couches sémantiques métier.\nDatasets fiables, documentés et réutilisables.\nTests et dispositifs de contrôle de qualité des données.\nWorkflows d'orchestration et processus de déploiement CI/CD.\nDocumentation technique, traçabilité et suivi des performances.\nSolutions Data optimisées pour les dashboards, analyses et modèles 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