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Senior Data Analyst

eFinancialCareersLuxembourg🇱🇺Luxembourg

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationLuxembourg, Luxembourg
SQLETLApachedbtPower BIData Analysis

Job description

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.

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