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Salary
≈ $45k – $71k per year (Estimated)
Location
Hybrid (Nanterre, France)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Apr 30, 2026. AXA France scores B on the Alion truth index.

Overview
Company
Impact
Profile match
AXA France is the French arm of the AXA insurance group, headquartered in Nanterre near Paris, selling car, home, health, protection, savings, retirement and banking products to individuals, professionals and businesses. It operates through a nationwide network of agents and advisers and offices around the Paris region, including Nanterre, Suresnes, Fontenay-sous-Bois and Malakoff, while the job board also carries roles for other AXA entities such as AXA Health. It hires actuaries, data scientists and analysts, risk analysts, claims lawyers, procurement specialists, project managers and recovery technicians, with many internships and apprenticeships.

Rejoignez AXA France en tant que Data Analyst - Power BI. Vous serez intégré à l'équipe Contrôle de Gestion Optimisation de la Direction Financière. Vos missions incluront la conception et le développement de tableaux de bord, l'analyse et la visualisation de données, l'automatisation de rapports, et la participation à l'optimisation des processus de collecte et de traitement des données. Vous devez être étudiant en 4ᵉ ou 5ᵉ année en Data Science, Statistiques, Informatique décisionnelle ou domaine similaire, avec une bonne maîtrise de Power BI, SQL, et Python.

Missions

  • Conception et développement de tableaux de bord et rapports sous Power BI, analyse et visualisation de données.
  • Automatisation de rapports, réalisation d'analyses statistiques descriptives et prédictives.
  • Participation à l'optimisation des processus de collecte et de traitement des données, contribution à l’exploitation des données.

Profil recherché

Nous recherchons un(e) étudiant(e) en 4ᵉ ou 5ᵉ année en Data Science, Statistiques, Informatique décisionnelle ou domaine similaire.

Ce poste nécessite :

Une bonne maîtrise de Power BI, incluant les langages DAX et Power Query

Des compétences solides en SQL et en programmation Python

Une maîtrise de Python dans des environnements cloud data, notamment Databricks

Une première expérience ou une bonne connaissance des architectures Datalake

Des connaissances de base en statistiques

Le candidat idéal doit être rigoureux(se), autonome et doté(e) d’un bon esprit d’analyse. De bonnes capacités de communication et de vulgarisation sont nécessaires pour expliquer des concepts complexes de manière simple et compréhensible.

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