The jobholder supports data analysis tasks to help generate insights for decision-making. This includes assisting with underwriting plans, renewal reporting, and reviewing performance data. The role also involves helping with profitability reviews, market assessments, and ad hoc analyses for underwriting and strategy teams. Additionally, the analyst helps develop dashboards and checks data for accuracy and usability across business units.

The Underwriting Data Analyst will play a supporting role in assisting with business planning, performance monitoring, and decision-making across the P&C portfolio. This includes helping coordinate the underwriting plan and renewal reporting processes and preparing basic analytics for underwriting teams and senior leaders. The analyst will work closely with Underwriting, Pricing, and Modelling teams to monitor business performance and provide useful insights.

In addition to performance analysis, the role involves supporting profitability reviews, contributing to market assessments, and helping various teams with data for regulatory, client, and internal reporting needs. The analyst will also assist in developing and improving analytical tools and dashboards, ensuring basic data accuracy and usability, while acting as a point of contact between business and IT teams.

The ideal candidate brings 2 years of experience in the (re)insurance sector, good analytical and problem-solving skills. A motivated, eager-to-learn, and team-oriented mindset is essential, along with the ability to support multiple tasks and communicate data clearly to different stakeholders.

Key duties and responsibilities

• Business Planning and Monitoring
• Assist in preparing the Underwriting Plan, ensuring basic alignment with strategic and financial frameworks.
• Help compile analytics for underwriting plan meetings, including simple break-even and clustering support.
• Support tracking of P&C business performance against plans and benchmarks through collaboration with Underwriting, Pricing, and Modelling teams.
• Help coordinate renewal reporting and prepare regular reports for management.

• Performance Analysis: gather data from various sources to help understand business performance.
• Assist in monitoring actual vs. expected pricing outcomes.
• Support quarterly reviews with basic performance summaries.
• Help identify trends and deviations with guidance from senior analysts.
• Coordinate with other teams to resolve data issues.

• Business Insights: support underwriting with data-driven recommendations to support strategic decision-making.
• Participate in portfolio review to learn about profitability drivers.
• Support market assessments, tiering, peer benchmarking, and competitive analysis
• Prepare 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.
• Help 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

• 2+ years of experience in the (re)insurance sector, ideally in entry-level roles supporting business analytics, actuarial, modelling, or underwriting.
• Problem-solving and analytical skills with the ability to work with large, complex datasets and support insight generation.
• Proficiency in Excel (including Power Query) and familiarity with data visualization tools (e.g. Power BI, Tableau).
• Exposure to programming languages such as SQL, Python, R, or VBA is a plus.
• Clear communication skills and ability to share findings with team members.
• Ability to organize tasks and support multiple projects under guidance.
• Team-oriented with a willingness to learn and collaborate.
• Eager, detail-oriented, and open to feedback, with a "can-do" attitude and curiosity to explore new topics.

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.

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