Lead Reinsurance Data Analyst

Overview

The organization is seeking a Lead Reinsurance Data Analyst to support and transform reinsurance operations through accounting expertise, data analytics, business intelligence, and emerging AI technologies. This role ensures the accuracy and integrity of reinsurance settlements, reporting, and reconciliations, while driving process improvements, automation initiatives, and system integration efforts.

Responsibilities

• 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.
• Use business intelligence and AI-enabled tools to streamline reconciliations, reporting, documentation, and decision-making processes.
• Drive automation, system integration, and process improvement initiatives to increase efficiency and scalability.
• Partner with stakeholders across Finance, Technology, and Operations to develop dashboards, reporting solutions, and business insights supporting strategic decision-making.

Requirements

• 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.

Preferred Qualifications

• 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.

Compensation & Benefits

Not specified.

Location

Not specified.

Working Conditions & Physical Requirements

• General office environment.
• Regular use of standard office equipment, including a computer and telephone.
• 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.

Additional Information

• Employment is contingent upon completion of a required identity verification process, which may include biometric technology, where permitted by applicable law and subject to applicable notice and consent requirements.
• Virtual interviews require candidates to be conducted on video.
• During the application process, the employer will never ask for personal information such as National ID number, bank account details, or passwords.