Nordic Insurance Programs Assistant — Student (Part-Time)

Allianz Commercial; København; Híbrido; DKK 132.000 - 158.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Descripción de la vacante

Allianz Commercial in Copenhagen is seeking a part-time Student Helper to support the Multinational insurance program team. The role offers 15 hours per week in a hybrid setup, spanning Copenhagen and Stockholm, with duties in policy implementation, data management, and broker liaison.

The ideal candidate is a university student with strong Excel and data skills, fluent in Danish and English, and collaborative across international teams.

Formación

• Currently enrolled in a university degree programme with at least 2 years of study remaining.
• Strong knowledge of Microsoft Excel and data handling.
• A curious, quick-learning mindset with attention to detail.
• Collaborative approach – ability to work with international colleagues across locations.
• Strong communication skills in Danish and business-level English.
• Familiarity with AI-powered tools or willingness to learn is a plus.

Responsabilidades

• Support the implementation of local insurance policies throughout the Nordic region.
• Assist with the implementation and tracking of Nordic International Insurance Programs.
• Follow up on invoices and payments.
• Ensure data quality across relevant systems and platforms.
• Assist with administrative tasks including document and template management and data input.
• Build and maintain contacts with brokers as part of daily responsibilities.

Conocimientos

Excel

Data handling

Danish-English

Attention to detail

Team collaboration

Educación

University student

Descripción del empleo

Allianz Commercial in Copenhagen is seeking a part-time Student Helper to support the Multinational insurance program team. The role offers 15 hours per week in a hybrid setup, spanning Copenhagen and Stockholm, with duties in policy implementation, data management, and broker liaison.

The ideal candidate is a university student with strong Excel and data skills, fluent in Danish and English, and collaborative across international teams.