Data Analyst Senior
- Hiring from
- Luxembourg
- Work type
- Hybrid
- Posted
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Permanent Contract (CDI)
Mode: Hybrid(1 day per week remote)
Experience :3 - 8 years of experience
Start date: ASAP
Duration: 12 months (renewable)
Location: Luxembourg
Languages:
- Fluent French is mandatory.
- English is appreciated.
Only for EU Nationals.
Main Responsibilities
- Gather and analyse Data/BI requirements related to business operations (contract management, premiums, claims, etc.).
- Perform complex analytical investigations and multi-system reconciliations.
- Participate in the transformation towards a new modern Data platform.
- Design and maintain advanced dashboards and visualisations.
- Define, monitor, and standardise business KPIs.
- Translate business requirements into actionable analyses and concrete recommendations.
- Manage and improve datasets according to Data Mesh principles.
- Collaborate with Data Science and AI teams to industrialise analytical use cases.
- Optimise ETL pipelines and data flows.
- Perform advanced statistical analyses to identify trends, anomalies, and improvement opportunities.
- Support and mentor more junior analysts
Required Skills
- 3 to 8 years of experience in Data Analytics, Business Intelligence, or Data Management.
- Excellent command of SQL.
- Strong knowledge of Data Warehouse concepts (star schema, dimensional modelling, normalisation).
- Experience with ETL tools such as SAS Enterprise Guide (SAS EG), dbt, or equivalent.
- Proficiency with BI solutions such as:
- Power BI
- SAS Visual Analytics
- Apache Superset
- Good understanding of data governance and Data Mesh principles.
- Skills in statistics and complex data analysis.
- Experience in defining KPIs and producing business insights.
- Ability to work independently and interact with business stakeholders.
- Fluent French is mandatory.
- English is appreciated.
- Experience in the insurance sector is considered an asset.
Soft Skills
- Autonomy and sense of responsibility.
- Excellent interpersonal and influencing skills.
- Analytical mindset and results-oriented approach.
- Ability to challenge business requirements diplomatically.
- Interest in innovation and continuous improvement.
