AXA Belgium is hiring a Business Data Analyst in the Life & Health Change unit, focusing on Data transformation and value-added data use cases. This hybrid role is based in Brussels and involves turning data into actionable insights, building and modernizing datamarts and dashboards, and contributing to Data & AI initiatives across the organization. You will bridge business teams, Data & Reporting, and IT, applying programming and AI skills to support targeted technical initiatives and Data & AI projects.

Key responsibilities: 1. Business data analysis and insights: collect, validate, and consolidate data; translate business needs into analyses, definitions, and KPI calculations; ensure data quality and traceability; communicate conclusions clearly to management, operations, and subject matter experts. 2. Datamarts and dashboards: collaborate with business experts to identify needs, design and maintain datamarts and dashboards, modernize indicators, ensure reliable reporting, and tailor communications to different audiences. 3. Data flow industrialization and modernization: analyze data flows, collaborate with Architecture, Data Office and IT to redesign data flows in governed environments (ETL, data warehouse, data lake); improve data quality and simplify processes; participate in testing and gap analyses; propose improvements and share best practices across AXA. 4. Data & AI / ML components: contribute to Data & AI use cases, prepare datasets and reusable components, interpret results with business teams, ensure models are integrated into reporting or tools, promote prud

AXA Belgium is hiring a Business Data Analyst in the Life & Health Change unit, focusing on Data transformation and value-added data use cases. This hybrid role is based in Brussels and involves turning data into actionable insights, building and modernizing datamarts and dashboards, and contributing to Data & AI initiatives across the organization. You will bridge business teams, Data & Reporting, and IT, applying programming and AI skills to support targeted technical initiatives and Data & AI projects.

Key responsibilities: 1. Business data analysis and insights: collect, validate, and consolidate data; translate business needs into analyses, definitions, and KPI calculations; ensure data quality and traceability; communicate conclusions clearly to management, operations, and subject matter experts. 2. Datamarts and dashboards: collaborate with business experts to identify needs, design and maintain datamarts and dashboards, modernize indicators, ensure reliable reporting, and tailor communications to different audiences. 3. Data flow industrialization and modernization: analyze data flows, collaborate with Architecture, Data Office and IT to redesign data flows in governed environments (ETL, data warehouse, data lake); improve data quality and simplify processes; participate in testing and gap analyses; propose improvements and share best practices across AXA. 4. Data & AI / ML components: contribute to Data & AI use cases, prepare datasets and reusable components, interpret results with business teams, ensure models are integrated into reporting or tools, promote prud