Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

About the Role

We are seeking a Data Analyst to support the Actuarial Reserving and Pricing teams by managing and optimizing data processes. This role will focus on handling Personal Auto data, creating reports and dashboards, and delivering insights for senior leadership. You will work closely with IT to resolve data issues and improve existing processes for greater efficiency, while contributing to special projects that drive business decisions.

What You'll Do

• Process, manipulate, and organize data for Actuarial Reserving and Pricing teams using SAS and SQL.
• Create and maintain reports and dashboards using SAS, SQL, Excel, and R Shiny.
• Support special data analysis projects for senior leadership.
• Identify data issues and collaborate with IT to resolve defects.
• Improve existing data processes to enhance efficiency and accuracy.
• Provide data and insights to all actuarial areas within the organization.

Requirements

Requirements

• Experience in data management and reporting (Intermediate level).
• Proficiency in SAS (Entry to Intermediate level), SQL (Intermediate), and Excel (Intermediate).
• Programming skills (Intermediate), with knowledge of R and Python as a plus.
• Familiarity with actuarial reserving concepts (Entry level).
• Strong analytical and problem-solving skills with attention to detail.
• Ability to work independently and manage projects effectively.
• Good communication skills for collaboration with IT and actuarial teams.
• Insurance background in reserving data is a plus.

Benefits

This position comes with competitive compensation and benefits package: 

1. Competitive salary and performance-based bonuses 
2. Comprehensive benefits package 
3. Career development and training opportunities 
4. Flexible work arrangements (remote and/or office-based) 
5. Dynamic and inclusive work culture within a globally reknowned group 
6. Private Health Insurance 
7. Pension Plan 
8. Paid Time Off 
9. Training & Development