Data Analyst H/F

Crédit Agricole CIB • French: C1 • Commercial & Retail Banks • Investment Banking & M&A Advisory • 5 days ago
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Salary
≈ $42k – $68k per year (Estimated)
Location
In office (Montrouge)
Employment
Internship

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 14, 2026.

Overview
Company
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Crédit Agricole CIB

Credit Agricole Corporate and Investment Bank (Credit Agricole CIB) is the corporate and investment banking arm of the French Credit Agricole group, headquartered in Montrouge near Paris. It provides financing, capital markets, structured finance, investment banking and transaction banking services to corporations and financial institutions, with offices across Europe, the Americas, Asia Pacific and the Middle East, including New York, Frankfurt, Milan, Madrid, Singapore, Tokyo, Seoul, Taipei and Mumbai. It recruits structured finance and leveraged finance bankers, market risk analysts, derivatives operations staff, data scientists, AI engineers, application support engineers and trainees.
ca-cib.com • HQ: Montrouge, France • Commercial & Retail Banks • Investment Banking & M&A Advisory • 501-1000 employees • Est. 2004
Tech stack of Crédit Agricole CIB

Rejoignez Crédit Agricole CIB, une banque de financement internationale. En tant qu'Analyste de Données, vous serez responsable de la collecte, de l'analyse et de l'interprétation des données, ainsi que de la création de visualisations pour orienter les décisions stratégiques de l'entreprise. Vous travaillerez en étroite collaboration avec les équipes métiers et bénéficierez d'un environnement de travail moderne et dynamique.

Missions

  • Collecter, nettoyer, analyser, interpréter et créer des représentations visuelles des données pour fournir des insights exploitables.
  • Collaborer avec les équipes métiers pour comprendre leurs besoins, identifier les sources de données pertinentes et garantir la qualité des données.
  • Réaliser des analyses exploratoires et statistiques, identifier les tendances, modèles et anomalies dans les jeux de données, et produire des rapports et des recommandations.
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