Senior Property & Casualty Insurance Data Analyst

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  • Milano
  • Tempo indeterminato
  • Full time
  • 1 mese fa
Within the Group P&C Retail Insurance and Technical Control, we are looking for a talented and proactive resource to join the team.Key responsibilities of the role will include:Periodic performance monitoring of P&C portfolios:
  • Design, implement and enhance metrics and monitoring tools to help provide insights in managing the business
  • Build advanced forward-looking models for P&C retail insurance (motor / non motor) able to identify any deviations from the plan
  • Developed optimized data models supporting analytics and reporting
  • Create Dashboards to summarize main findings
  • Present and communicate modeling results and recommendations
  • Ensure governance, security and best practices for data management
Support to Business units:
  • Helping BUs in defining actions/projects based on the findings of periodic monitoring and supporting them to successfully implement/carry-out these actions and projects
  • Contribute to the development of Forward-looking Modeling Best Practices
  • Master’s degree in Actuarial Science, Computer Science, Engineering, Mathematics, Physics, Statistics, or other quantitative fields
  • Minimum 5 years’ actuarial experience in P&C retail with good knowledge of main P&C products
  • Advance SQL / Database Querying: multi-step queries, analytical functions, performance optimization
  • Proficient in Python for data manipulation (analysis, automation, and development of analytical/ML models supporting actuarial and business intelligence needs), ETL workflows, and machine learning model development
  • Dashboards design and KPI Modeling: Experience in designing and maintaining dashboards (Power BI, DAX, data modeling), delivering clear insights for business steering
  • Cloud Platforms (AWS): Familiarity with AWS services for data storage, ETL workflows, and analytical solution deployment
  • Fluency in both written and spoken English
Soft Skills:
  • Strong analytical mindset with proven ability to manage complex P&C datasets and apply rigorous actuarial and data‑driven methodologies;
  • Solution-oriented, independent, flexible and proactive

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