Data Analytics Apprentice
The P&C Operations team plays a key role in supporting SCOR’s Property & Casualty business by driving operational efficiency, data quality, and analytics capabilities across underwriting and support functions.
As a Data Analyst Alternance within the P&C Operations team, you will contribute to the development and enhancement of data-driven solutions that support operational processes and decision-making.
- Support the development and maintenance of operational dashboards, KPIs, and
management reporting (e.g., exception report, operational monitoring dashboards). - Analyze business and operational data using SQL in Databricks.
- Develop impactful visualizations using Power BI.
- Support data quality checks, transformation, and validation to ensure accuracy and reliability.
- Contribute to SCOR's growing AI and digital transformation initiatives by designing and optimizing prompts, improving AI-generated responses, testing agent capabilities, and helping business teams leverage Generative AI technologies to enhance productivity, knowledge discovery, reporting, and decision-making.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
- This apprenticeship offers exposure to data engineering, analytics, and visualization within a global reinsurance environment, providing hands-on experience with modern tools and methodologies.
Key duties and responsibilities:
Business Intelligence & Reporting
• Develop and maintain Power BI dashboards and operational reports.
• Design visualizations and KPIs to support management reporting and operational monitoring.
• Assist in gathering business requirements and translating them into reporting solutions.
• Participate in dashboard testing, validation, and user support activities.
Data Analysis & Data Management
• Extract, transform, and analyze data using SQL in Databricks.
• Investigate data quality issues and propose corrective actions.
AI & Prompt Engineering Responsibilities
• Support the design, testing, and continuous improvement of AI-powered assistants and
Copilot agents for business users.
• Create, refine, and optimize prompts to improve the quality, accuracy, and relevance of AI-
generated outputs.
• Participate in user testing and validation of AI agent responses to ensure alignment with
business expectations.
• Analyze user feedback and identify opportunities to enhance agent performance and user
experience.
Process Automation
• Contribute to automation initiatives using tools such as Power Automate and AI Prompts in
copilot.
• Identify opportunities to reduce manual effort through automation and process optimization.
Operational Support
• Collaborate with stakeholders to continuously improve reporting capabilities and operational
processes.
• Participate in documentation, knowledge-sharing, and process standardization activities.
Required experience & competencies
- Business Intelligence (BI) Tools: Power BI
- Data Extraction & Querying: SQL
- Automation & Workflow: Power Automate, Microsoft Copilot for data and reporting tasks
- Programming Languages: Python
- Advanced Excel Skills: Formulas, Pivot Tables, Data Analysis
- AI-Powered Productivity Tools: Familiarity with Microsoft Copilot Studio, SharePoint Agents, or similar AI platforms is an advantage.
Required Education
- Currently enrolled in a Master's degree (Bac+4/Bac+5) in Data Analytics, Business Intelligence, Data Science, Artificial Intelligence, Computer Science, or Engineering, and seeking an apprenticeship contract (alternance) for 12 to 24 months.
- Strong interest in data analytics, business intelligence, process automation, and Generative AI.
- Knowledge of SQL and data visualization tools such as Power BI is preferred. Exposure to Python, Databricks, Microsoft Copilot, or AI technologies would be a strong advantage.