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Data Ingestion Analyst

Pubblicato il 07-09-2026 - Generali Employee Benefits - GEB in Assago

Generali is one of the largest global insurance and asset management providers. Established in 1831, it is present in 50 countries in the world the Generali Group is one of the most significant players in the global insurance and the asset management industry. Generali supports each firm to innovate and grow with full investment autonomy ensuring they are set up to develop sustainable and innovative solutions. With the stability of Generali Group backing, the platform enables investors to access distinctive strategies and experts' insights. Generali Employee Benefits (GEB) Network is now Redion Employee Benefits, a Generali Company. We are Redion. This is not a new company or a restructuring. This is our new global name — one brand for Europ Assistance and Generali Employee Benefits (GEB) Network, bringing together our insurance, assistance, and employee benefits services worldwide. Our vision: to be the world’s premier care partner. Redion Employee Benefits is the global platform dedicated to the human capital of multinational corporations and,



following the acquisition of Swiss Life Network earlier in 2026, the undisputed worldwide leader in employee benefits. For more information, please visit our website To strengthen our IT & Operations team, we are seeking a Data Ingestion Analyst who is registered as a protected category candidate under Italian Law 68/99 . Application must be submitted in English The Analyst will be responsible for ensuring effective governance, management, and continuous improvement of reinsurance data flows from GEB Network Partners, focusing primarily on operational data ingestion, quality validation, and automation of processes. Your responsibilities will include (non-exhaustive list): 1. Data Ingestion and Quality Assurance: Manage and oversee the ingestion of all data flows from Network Partners, ensuring timely, accurate, and efficient processing. Conduct thorough quality checks and validations to ensure accuracy and integrity of the r

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