Lead Reinsurance Data Analyst
Description
Overview of Position
The Lead Reinsurance Data Analyst plays a critical role in supporting and transforming Assurant’s reinsurance operations through a combination of accounting expertise, data analytics, business intelligence, and emerging AI technologies. This position is responsible for ensuring the accuracy and integrity of reinsurance settlements, reporting, and reconciliations while driving process improvements, automation initiatives, and system integration efforts. The ideal candidate is a curious, innovative professional who thrives in a dynamic environment and enjoys leveraging data and technology to solve complex business challenges.
What makes us different?
- Opportunity to help shape the future of reinsurance operations through AI, automation, and digital transformation initiatives.
- Exposure to cutting-edge tools such as Microsoft Copilot, ChatGPT, Claude, Alteryx, Power BI, and Power Query.
- Work on high-impact projects involving large-scale system integrations and modernization efforts.
- Collaborate with global teams across Finance, Technology, Operations, and Data Analytics.
What will be my duties and responsibilities in this job?
- Lead reinsurance settlement activities, reconciliations, reporting, and operational oversight while ensuring compliance with contractual and financial requirements.
- Analyze large volumes of data to identify trends, variances, operational issues, and opportunities for improvement.
- Utilize business intelligence and AI-enabled tools to streamline reconciliations, reporting, documentation, and decision-making processes.
- Drive automation, system integration, and process improvement initiatives designed to increase efficiency and scalability.
- Partner with stakeholders across Finance, Technology, and Operations to develop dashboards, reporting solutions, and business insights that support strategic decision-making.
What are the requirements needed for this position?
- Bachelor’s degree in Accounting, Finance, Business, or a related discipline.
- 5+ years of experience in finance, accounting, data analytics, business intelligence, automation, or digital transformation environments.
- Experience working with large data sets, data modeling, financial systems, and process optimization initiatives.
- Strong analytical, problem-solving, and communication skills with the ability to translate operational challenges into actionable insights.
- Demonstrated interest, aptitude, or experience using AI-enabled tools and emerging technologies to improve business processes and productivity.
What other skills/experience would be helpful to have?
- Experience within the insurance or reinsurance industry. Reinsurance experience is highly desirable.
- Hands-on experience with Alteryx workflow design and automation.
- Advanced proficiency with Power BI, Power Query, or similar business intelligence platforms.
- Experience leading or supporting system implementations, integrations, or technology transformation projects.
- A curious, growth-oriented mindset with the ability to work in an evolving environment where responsibilities continuously adapt to business needs.
What are the working conditions and physical requirements of this job?
General office environment. This role requires regular use of standard office equipment, including a computer and telephone. The position involves prolonged periods of sitting and occasional standing, walking, or lifting up to 10 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.
