The Senior Underwriting Data Analyst will play a central role in supporting business planning, performance monitoring, and strategic decision-making across the P&C portfolio. This includes coordinating the underwriting plan and renewal reporting processes and preparing analytics for underwriting teams and senior leaders. The analyst will work closely with Underwriting, Pricing, and Modelling teams to track business performance and deliver actionable insights.

In addition to performance analysis, the role involves conducting deep dives into portfolio profitability, performing market assessments and benchmarking, and supporting various functions with data for regulatory, client, and internal reporting needs. The analyst will also contribute to the development and enhancement of analytical tools and dashboards, ensuring data accuracy and usability, while acting as a bridge between business and IT teams.

The ideal candidate brings at least 5 years of experience in the (re)insurance sector, strong analytical and problem-solving skills. A proactive, curious, and collaborative mindset is essential, along with the ability to manage multiple projects and communicate complex data clearly to diverse stakeholders.

Key duties and responsibilities

• Business Planning and Monitoring

  • Support the development of the Underwriting Plan, ensuring consistency with strategic and financial planning frameworks 

  • Prepare and enhance analytics for underwriting plan meetings, including break-even analysis / clustering exercises and alignment with performance monitoring

  • Support the P&C business monitoring process against underwriting plans, estimates and prior-year benchmarks. This requires communication and collaboration with Underwriting, Pricing and Modelling teams.

  • Coordinate renewal reporting with CUO teams and deliver timely and insightful weekly/monthly reports to senior management.

• Performance Analysis: gather data from various sources and interpret it to understand business performance.

  • Monitor business performance relative to initial pricing estimates (actual vs. expected)

  • Provide support for the quarterly performance review.

  • Identify trends, deviations, and profitability drivers with the objective to improve company result.

  • Ensure cross-functional coordination with Finance, Reserving, and Pricing & Modelling teams to resolve performance data issues.

• Business Insights: support underwriting with data-driven recommendations to support strategic decision-making.

  • Participate to deep dives into the P&C portfolio to gain insights on profitability. 

  • Perform market assessments, tiering, peer benchmarking, and competitive analysis 

  • Provide ad hoc analyses and reports for Underwriting teams, senior leadership and strategy teams.

  • Assist the other functions with information required for regulators, internal procedures, marketing actions, client management and reporting to reinsurers/retrocessionaires.

  • Translate findings into actionable insights and strategic recommendations for business operations.

• Tool and Data Enhancement: ensure data accuracy and design dashboards to monitor key performance indicators.

  • Secure underwriting data is fit for analysis with a focus on accuracy completeness, and uniformity, automating wherever possible and investigating technical solutions.

  • Contribute to the maintenance and enhancement of analytical and reporting dashboards, ensuring they meet business needs.

  • Provide an IT interface to business units by developing proficiency in internal dashboards and tools to effectively communicate key performance metrics to stakeholders.

Required experience & competencies

• 5+ years of experience in the (re)insurance sector, ideally in business analytics, actuarial, modelling, or underwriting support roles.

• Strong problem-solving and analytical skills with the ability to work with large, complex datasets and translate insights into strategic recommendations.

• Proficiency in Excel (including Power Query) and strong command of data visualization tools (e.g. Power BI, Tableau).

• Knowledge programming languages such as SQL, Python, R, or VBA is a plus.

• Strong communication skills and ability to synthesize and present complex data clearly to non-technical stakeholders.

• Organizational skills with the ability to manage and prioritize multiple concurrent projects.

• Team-oriented with interpersonal skills and a strong service-driven mindset.

• Proactive, rigorous, curious, and autonomous, with a "can-do" attitude and a willingness to explore topics beyond core competencies.

Required Education 

• Master's degree in a quantitative discipline such as Engineering, Mathematics, Actuarial Science, or Economics.

• Alternatively, a proven track record with relevant experience in similar analytical or technical roles may be considered in lieu of formal education.

• Advanced coursework or internship experience in insurance, reinsurance, or finance is preferred.

• Progress toward or attainment of an actuarial designation (e.g., Associateship of a recognized actuarial society) is considered a strong asset.