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Salary
$123k – $129k per year
Location
Hybrid (Massy, France)
Seniority
Senior · 7+ years exp
Employment
Freelance

First seen by Alion on Oct 7, 2026.

Overview
Company
Impact
Profile match
Craftman Data is a French consultancy specialised in data, artificial intelligence and digital transformation. Its consultants are placed on client projects as data engineers, data scientists and technical leads working with GCP, Java, Python and Spark. The company is headquartered in Paris, France.

Informations mission

  • Entité :  Digital Factory Référentiel

  • Site : Massy

  • Présence sur site : 3 jours par semaine

  • Télétravail : 2 jours par semaine

  • Date de démarrage : ASAP

  • Date de fin : 19/10/2027

 

Description and Location

La Digital Factory Référentiel de Carrefour pilote la transformation des données de référence (produits, fournisseurs, tiers, sites) à l'échelle France et Groupe. Elle vise à unifier et fiabiliser les référentiels, moderniser les architectures Data et sortir du mainframe BCP tout en assurant la continuité des usages métiers critiques.

 

Projet : Cockpit Data Référentiel

 

Objectif : Définir les KPI de suivi de performance de la Direction Référentiel, produire les supports de décision pour la Direction et porter le modèle d'explicabilité de la performance.

Principales missions :

  • Définir les KPI de performance de la Direction.

  • Réaliser des analyses End-to-End des chaînes de Run.

  • Produire et maintenir des dashboards décisionnels performants.

  • Exploiter et challenger les métiers à partir des indicateurs produits.

  • Garantir la fiabilité, la précision et la disponibilité des données.

  • Identifier les axes d'amélioration des processus métiers et techniques.

Compétences clés :

  • SQL avancé.

  • BigQuery.

  • Looker Studio / Looker.

  • Construction et optimisation de dashboards.

  • Modélisation et gestion de données.

  • Conception de pipelines Data.

  • Analyse de données et pilotage par KPI.

Compétences appréciées :

  • Python (Pandas, NumPy, PySpark).

  • DevOps.

  • Git / GitLab CI.

  • Data Lake / Data Warehouse.

  • PostgreSQL, MongoDB.

  • Environnements Cloud GCP ou Azure.

  • Méthodologies Agile Scrum.

Profil recherché

Profil recherché :

  • Formation Bac+5 ou équivalent.

  • Plus de 7 ans d'expérience en Data Analyse.

  • Une expérience dans le secteur du retail / grande distribution est fortement appréciée.

  • Une expérience en Data Engineering constitue un plus.

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