Senior Data Analyst (ref.: LU475)

In the Operations team, the Senior Data Analyst acts as an expert in analyzing and managing data related to claims, contracts, and premiums. They work closely with operational managers to meet data and Business Intelligence requirements.

The role involves conducting complex analytical investigations and multi-system reconciliations, using advanced SQL and data warehousing skills. The holder actively participates in the transition to a new data platform based on innovative architecture and modern tools.

They are also responsible for designing sophisticated dashboards and consolidated key performance indicators (KPIs) to support clear strategic decision-making. Managing datasets according to Data Mesh principles and cross-functional alignment is a major part of their work.

Working with Data Science and Artificial Intelligence teams, they help industrialize predictive use cases and optimize ETL pipelines using tools like SAS Enterprise Guide or dbt. Detailed statistical analysis to identify trends and anomalies is also part of their duties.

Finally, they play a key role in clearly communicating analytical results to stakeholders and mentoring junior analysts, supporting skill development within the team.

Required Skills

• 3 to 8 years' experience in data analysis and Business Intelligence.

• Advanced knowledge of SQL and data warehouse principles, including star schema, dimensional modeling, and normalization.

• Proven experience with ETL tools (SAS EG, dbt) and BI platforms (Power BI, SAS Visual Analytics, Apache Superset).

• Familiarity with data governance principles and Data Mesh concepts.

• Ability to interpret complex data and apply statistical methods.

• Autonomy, responsibility, and initiative-taking skills.

• Competence in KPI design, business insight production, and operational optimization.

• Ability to communicate effectively with stakeholders.

• French proficiency required; English is a plus.

• Experience in the insurance sector is appreciated.

• Commitment to innovation and continuous improvement.