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Location
Hybrid (Villejuif, France)
Employment
Contractor

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 5, 2026. Crédit Agricole scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Crédit Agricole is a French cooperative banking group headquartered in Montrouge near Paris, covering retail banking through its regional banks and LCL, corporate and investment banking, insurance, consumer finance and asset management. It is described as the largest cooperative financial institution in the world, and its subsidiaries include Amundi, one of the ten largest asset managers globally, Crédit Agricole CIB, UBAF and the Crédit Agricole Group Infrastructure Platform. The group careers site advertises internships and permanent roles for business account managers, economists, energy and finance analysts, ESG project officers, compliance analysts and mainframe database engineers.

Rejoignez LCL, l'une des plus grandes banques de détail en France. En tant que Data Analyst, vous intégrerez le service "Data Marketing Analytics" et participerez à des études statistiques et marketing approfondies, à la construction et à la diffusion régulière des tableaux de bord, et à la proposition d'indicateurs pertinents pour qualifier le comportement de nos clients. Vous devez avoir un Master 2 en statistiques/datascience ou un diplôme d'ingénieur, ainsi qu'une bonne capacité d'analyse et de synthèse, une bonne communication orale et des qualités rédactionnelles.

Missions

  • Réaliser des études statistiques et marketing approfondies pour les différentes directions « clientes ».
  • Participer à la construction et à la diffusion régulière des tableaux de bord de la direction.
  • Construire/Proposer des indicateurs pertinents permettant de qualifier le comportement de nos clients.

Profil recherché

Master 2 en statistiques/datascience (avec si possible une filière marketing) ouDiplôme d'ingénieur.

Compétences recherchées Compétences transverses :

- Bonne capacité d'analyse et de synthèse,

- Bonne communication orale et qualités rédactionnelles,

Qualités requises :

- Motivation,

- Autonomie,

- Rigueur,

- Organisation,

- Sens de l'initiative,

- Adaptabilité,

- Esprit d'équipe.

Anglais technique pour la veille technologique

Pack Office : Excel, PowerPoint notamment

Connaissance d'un outil parmi SAS, SQL Teradata, Dataiku

Dans le cadre de ladataviz, Power BI est l’outil utilisé chez LCL

Langages de programmation :

SQL, SAS, Python

Maîtrise de l'anglais technique ( requêtage données)

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