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Open nowPosted 5 hours ago

Data analyst senior F/H

Scalian795 open roles

Where
Marseille, Bouches-du-Rhône, France
Work mode
Hybrid
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Your applicationOpen nowData analyst senior F/HScalian · Marseille, Bouches-du-Rhône, France

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Scalian postings stay open a median of 18 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 5 hours ago

Scalian median: 18 days open

The posting

Description de l'entreprise

Nous recherchons un(e) Data Analyst Senior.

L'objectif est de reconstituer un parcours complet, d'identifier les écarts entre le processus métier attendu et les données observables, puis de définir les actions correctives permettant d'améliorer durablement la qualité et la traçabilité des informations.

Ce projet s'adresse à un profil orienté investigation, analyse de causes racines et résolution de problèmes, bien davantage qu'à un analyste reporting ou dashboarding.

Description du poste

Le poste s'articule autour de 3 thématiques.

1. Investigation des données et des processus

  • Analyser les données issues de plusieurs applications métier et sources techniques.
  • Reconstituer le parcours complet d'un booking de sa création à sa confirmation.
  • Identifier les événements manquants, non historisés ou écrasés.
  • Vérifier la cohérence entre les règles métier attendues et les comportements observés dans les données.
  • Détecter les éventuels contournements ou anomalies de processus.

2. Analyse des causes et remédiation

  • Mener des analyses de causes racines.
  • Documenter les écarts observés, leurs impacts et leurs origines.
  • Construire un plan de remédiation pragmatique et priorisé.
  • Proposer des solutions permettant d'améliorer la traçabilité à court et long terme.
  • Évaluer la faisabilité d'une stratégie d'historisation (event logs, snapshots, audit trails...).

3. Support opérationnel

  • Accompagner les équipes métier et techniques dans la résolution de problématiques complexes.
  • Réaliser des analyses ad hoc sur des incidents ou anomalies remontés par les utilisateurs.
  • Tester et valider des hypothèses à l'aide des données.
  • Produire des analyses factuelles et reproductibles permettant d'accélérer les prises de décision.

Livrables attendus

  • Cartographie de processus.
  • Cartographie des sources de données et de leur qualité.
  • Reconstitution de parcours complets.
  • Inventaire des gaps et analyse des causes.
  • Stratégie cible de traçabilité.
  • Plan de remédiation priorisé.
  • Analyses opérationnelles de support aux équipes.
  • Restitution exécutive et feuille de route.

Qualifications

Expérience

  • Minimum 5 ans d'expérience en Data Analysis.
  • Expérience avérée d'investigation sur des données complexes et multi-sources.
  • Habitude des environnements où les processus métier sont partiellement documentés.
  • Expérience en analyse de causes racines et résolution de problèmes.
  • Une expérience dans les secteurs Transport, Logistique, Supply Chain ou Maritime constitue un réel avantage.

Compétences techniques

  • Excellente maîtrise de SQL.
  • Jointures complexes, analyses temporelles et contrôles de cohérence.
  • Exploration de tables RAW et investigation de données opérationnelles.
  • Reconstitution de parcours et séquences d'événements à partir d'identifiants, timestamps et statuts.
  • Bonne compréhension des problématiques de qualité, gouvernance, historisation et traçabilité de la donnée.

Compétences appréciées

  • Snowflake.
  • Data Warehouse / Data Lake.
  • Event Logs et Audit Trails.
  • Architectures Event-Driven.
  • Stratégies de snapshots et historisation.
  • Environnements cloud data.
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