Senior Data Analyst

Your Day-to-Day

As a Senior Data Analyst, you will support the Operations teams in addressing their Data & Business Intelligence needs, particularly in relation to claims management, policy administration and premium management.

Your responsibilities will include:

• Conducting complex data investigations and multi-system reconciliations using SQL and Data Warehouse concepts.

• Supporting the transition towards a new Data Platform based on a modern functional architecture and innovative tools.

• Designing advanced dashboards and data visualisations using Power BI, SAS VA, Apache Superset or similar tools.

• Defining reliable KPIs and ensuring consistency across departments.

• Translating business requirements into actionable insights.

• Managing and improving domain-level datasets in accordance with Data Mesh principles.

• Collaborating with Data Science & AI teams to industrialise predictive use cases.

• Optimising ETL pipelines using SAS EG, dbt or equivalent tools.

• Performing advanced statistical and numerical analyses to identify trends, anomalies and business opportunities.

• Communicating analytical findings and insights to business stakeholders.

• Supporting junior analysts and promoting knowledge sharing.

Your Profile

• 3 to 8 years of experience in Data Analysis / Business Intelligence.

• Strong knowledge of SQL and Data Warehouse concepts (star schema, dimensional modelling, normalisation).

• Practical experience with ETL tools such as SAS EG, dbt or equivalent.

• Experience with BI platforms such as Power BI, SAS VA or Apache Superset.

• Familiarity with data governance principles and Data Mesh concepts.

• Strong analytical skills and the ability to interpret complex datasets using statistical techniques.

• Experience in KPI design, business insights generation and operational optimisation.

• Ability to challenge ideas constructively and influence stakeholders.

• Autonomous, proactive and comfortable taking ownership of responsibilities.

• Fluent in French; English is considered an asset.

• Previous experience in the insurance sector is an advantage.

• Strong interest in innovation, continuous learning and process improvement.