Allianz France

About the Company

Numéro 1 mondial en assurance de biens et de responsabilités, numéro 2 mondial en assurance de personnes, Allianz propose une offre complète qui couvre tous les besoins en assurance, assistance et services financiers des particuliers, professionnels, entreprises et collectivités. Avec 140 000 salariés dans le monde, Allianz est présent dans plus de 70 pays, au service de 86 millions de clients. Assureur généraliste, spécialiste du patrimoine, de la protection sociale, Allianz France s’appuie sur la richesse de son expertise et le dynamisme de ses 9 000 collaborateurs en France. Près de 7 000 intermédiaires commerciaux, Agents Généraux, Conseillers, Courtiers et Partenaires sont présents pour apporter un conseil de qualité aux 5,5 millions de clients qui font confiance à Allianz France.

Listed Jobs

Company Name

Allianz France

Job Title

Data Analyst (H/F) - Stage

Job Description

Job title: Data Analyst Intern Role Summary: Assist the investment team in sourcing, validating, and automating investment data processes, while enhancing data reliability and developing new reporting solutions. Expectations: - 6‑month internship starting February 2026. - Proactively identify and address data quality issues. - Demonstrate initiative and independent problem‑solving. Key Responsibilities: - Automate data extraction, validation, and reconciliation across disparate information systems. - Create and maintain macros/scripts in Python and VBA to streamline routine tasks. - Continuously improve investment databases and ensure data integrity. - Lead migration of financial reports and design new dashboards using Power BI and DAX. - Collaborate with cross‑functional teams to translate business requirements into technical solutions. Required Skills: - Proficiency in Python, VBA, and SQL. - Experience with data visualization tools, especially Power BI/DAX. - Strong Excel skills (macros, advanced formulas). - Analytical mindset with keen attention to detail and organization. - Bilingual communication (French & English) at professional level, both written and spoken. - Self‑driven, autonomous, and proactive in proposing improvements. - Openness to exploring AI applications to enhance data processes. Required Education & Certifications: - Current enrolment in a Master’s (Bac +5) program in data science, data engineering, or related field. - Solid understanding of financial markets and instruments. - (No specific certificates required.)

Paris, France

Hybrid

30-12-2025

Company Name

Allianz France

Job Title

Chargé d'Actifs Financiers (H/F) - Stage

Job Description

Job Title Financial Asset Manager (Internship) Role Summary Assist the Asset Liability Management (ALM) unit in overseeing Allianz France’s investment portfolios, contributing to ALM studies, machine‑learning tool development, report production, and continuous process improvement. Expactations - Bac+4/5 (or equivalent) in applied sciences with a focus on finance or insurance. - Strong understanding of asset‑liability mechanics and investment strategies. - Proficiency in Python, R, and/or VBA for data analysis and tool creation. - Advanced computer literacy (Office suite) and excellent synthesis & analytical skills. - Self‑driven, rigorous, and autonomous with a team‑oriented mindset. - Fluency in English; French is advantageous. - Curiosity about AI/ML applications to enhance ALM functions. Key Responsibilities - Participate in ALM studies of Allianz France portfolios. - Develop and maintain machine‑learning models and related tools. - Produce ALM reports and support documentation. - Present ALM topics at committee meetings and internal forums. - Contribute to methodological evolution and process optimization. Required Skills - Asset‑liability management analytics. - Programming (Python, R, VBA). - Data manipulation, statistical analysis, and modeling. - Report writing, presentation, and synthesis. - Collaborative teamwork and independent work. - English proficiency (written and oral). Required Education & Certifications - Bachelor’s degree (BAC + 4/5) in applied science, finance, insurance, or related field. - No mandatory certifications required; relevant coursework in ALM, finance, or data science is preferred.

Paris, France

Hybrid

09-02-2026

Company Name

Allianz France

Job Title

Data Analyst Power BI (H/F) - Stage

Job Description

**Job Title** Data Analyst Power BI (H/F) – Internship **Role Summary** A six‑month internship focused on data extraction, transformation, and visualization for service‑provider performance within a client‑claims division. The analyst collaborates with business teams to design, develop, and maintain Power BI dashboards and reports that track key performance indicators (KPIs) for quality, delivery, and cost metrics. **Expectations** - Autonomous, detail‑oriented delivery of analytics solutions. - Clear communication of findings to non‑technical stakeholders. - Curiosity in applying emerging AI techniques to enhance analytics processes. **Key Responsibilities** 1. **Business‑needs analysis** – work closely with domain experts to define KPI requirements and ensure alignment with strategic objectives. 2. **Data extraction & preparation** – use SAS to pull, clean, structure, and transform source data for reporting. 3. **Power BI development** – design, build, and evolve interactive dashboards, incorporating data modeling and visualization best practices. 4. **KPI implementation** – translate contractual performance metrics into reliable BI calculations and visual outputs. 5. **Reporting automation** – implement automated reporting workflows in Power BI to reduce manual effort. 6. **Tool optimization** – continuously improve dashboards and data‑collection processes for accuracy and relevance. 7. **Training support** – author user guides and conduct brief trainings to promote self‑service analytics usage. **Required Skills** - Advanced proficiency in *Power BI* (data modeling, DAX, visual design). - Experience with *SAS* for data extraction, cleansing, and transformation. - Advanced *Excel* skills (formulas, pivot tables, data analysis). - Knowledge of *SQL* and relational databases (at least basic proficiency). - Strong analytical thinking and problem‑solving. - Excellent written and oral communication for stakeholder engagement. - Initiative to explore AI applications in data analysis. **Required Education & Certifications** - Current enrollment toward a *Bachelor’s or Master’s* degree in Data Science, Data Analysis, Statistics, or a related field. - Minimum 16‑20 credits in courses covering data analytics and business intelligence.

Courbevoie, France

Hybrid

12-02-2026