Senior Data Analyst - Property & Casualty Insurance

Role Overview:

You will play a critical role as a Senior Data Analyst - Property and Casualty (P&C) Policy by analyzing, monitoring, and enhancing the quality of P&C policy data. This position requires a blend of analytical expertise, industry knowledge in insurance, and strong technical skills. You will collaborate with operational leaders, IT teams, and business stakeholders to ensure accuracy and completeness of policy data.

Key Responsibilities:

• Analyze P&C policy data for multiple lines of business, with a primary focus on property, ensuring accuracy across US Retail and RPS operations in 2025.
• Implement and maintain data quality monitoring processes for policy data to comply with internal standards and external regulations.
• Develop reporting mechanisms to measure data quality improvements and compliance over time.
• Partner with operational leaders to identify data control needs and support the creation of effective operating procedures.
• Act as a subject matter expert (SME) for P&C policy data within OneSource, guiding business users in effective data usage.
• Write business requirements for enhancements and ensure accurate implementation in OneSource.
• Conduct user acceptance testing (UAT) to validate new solutions and system updates.
• Prepare and present clear, insightful visual representations of complex datasets to support decision-making.
• Communicate technical findings in a simplified manner for non-technical audiences, including senior leadership.

Qualifications Required:

• Education: Bachelor's or Master's degree in Finance, Mathematics, Data Science, Economics, Actuarial Science, or related field.
• Experience: Minimum 3 years in Data Analytics, Finance, or related field, with a strong background in insurance, insurance brokerage, or financial services (P&C preferred).

Additional Details:

The company requires you to have strong proficiency in SQL, R, or Python for data manipulation and statistical analysis. Experience with data visualization tools such as Power BI (preferred) or Tableau is desired. You should be able to work with large and complex datasets with keen attention to accuracy and detail. A deep understanding of insurance data, especially P&C metrics such as limits, deductibles, and exposures, is essential for this role. Role Overview:

You will play a critical role as a Senior Data Analyst - Property and Casualty (P&C) Policy by analyzing, monitoring, and enhancing the quality of P&C policy data. This position requires a blend of analytical expertise, industry knowledge in insurance, and strong technical skills. You will collaborate with operational leaders, IT teams, and business stakeholders to ensure accuracy and completeness of policy data.

Key Responsibilities:

• Analyze P&C policy data for multiple lines of business, with a primary focus on property, ensuring accuracy across US Retail and RPS operations in 2025.
• Implement and maintain data quality monitoring processes for policy data to comply with internal standards and external regulations.
• Develop reporting mechanisms to measure data quality improvements and compliance over time.
• Partner with operational leaders to identify data control needs and support the creation of effective operating procedures.
• Act as a subject matter expert (SME) for P&C policy data within OneSource, guiding business users in effective data usage.
• Write business requirements for enhancements and ensure accurate implementation in OneSource.
• Conduct user acceptance testing (UAT) to validate new solutions and system updates.
• Prepare and present clear, insightful visual representations of complex datasets to support decision-making.
• Communicate technical findings in a simplified manner for non-technical audiences, including senior leadership.

Qualifications Required:

• Education: Bachelor's or Master's degree in Finance, Mathematics, Data Science, Economics, Actuarial Science, or related field.
• Experience: Minimum 3 years in Data Analytics, Finance, or related field, with a strong background in insurance, insurance brokerage, or financial services (P&C preferred).

Additional Details:

The company requires you to have strong proficiency in SQL, R, or Python for data manipulation and statistical analysis. Experience with data visualization tools such as Power BI (preferred) or Tableau is desired. You should be able to work with large and complex datasets with keen attention to accuracy and detail. A deep understanding of insurance data, especially P&C metrics such as limits, deductibles, and exposures, is essential for this role.