Senior Data Analyst - Assurance

Project overview

Supporting business teams and data analysis

Transformation and modernization of the Data environment

Business Intelligence, reporting, and performance management

Collaboration and expertise sharing

• Collect, analyze, and process the Data and Business Intelligence (BI) needs of the Operations teams, covering claims management, contract lifecycle, and premium administration.
• Work closely with business managers and employees directly involved in operational processes.
• Conduct complex analyses and perform data reconciliations between different systems, using SQL and Data Warehouse principles.
• Transform business challenges and issues into relevant analyses and directly actionable recommendations.
• Actively contribute to the transition to a new Data Platform, integrating a modernized functional architecture and new technological tools.
• Administer, structure, and evolve datasets specific to different business domains, in compliance with Data Mesh principles.
• Participate in the improvement and optimization of ETL flows and pipelines, particularly using SAS EG, dbt, or equivalent tools.
• Collaborate with Data Science & AI teams to facilitate the industrialization of use cases based on predictive models.
• Develop advanced dashboards and data visualization solutions using tools such as Power BI, SAS VA, and Apache Superset.
• Design and formalize reliable, consistent, and harmonized key performance indicators (KPIs) across different departments.
• Perform in-depth statistical and quantitative analyses to highlight trends, detect anomalies, and identify value creation opportunities.
• Present analysis results in a structured, understandable, and convincing manner to various stakeholders.
• Act as a reference for junior analysts by supporting them in their work and skill development.
• Encourage knowledge capitalization, sharing of best practices, and dissemination of Data expertise within the teams.

Project details

• Start: flexible
• Remote: hybrid
• Location: Luxembourg, LU
• Languages: French