**Lead Reinsurance Data Analyst, Assurant, GCC-India**This role is responsible for executing and optimizing reinsurance operations with a strong focus on accuracy, controls, and efficiency. The Lead Reinsurance Data Analyst operates as an individual contributor.The role evaluates data analyses, process optimization plans, business intelligence and AI-enabled tools to enhance operational effectiveness, improve cycle times, and strengthen controls. This position drives the modernization of processes and the scaling of operations through automation and emerging technologies.**This position will be in Bangalore, Hyderabad, Gurgaon & Chennai at our India location.****What will be my duties and responsibilities in this job?****Reinsurance Operations Execution & Oversight (40–50%)*** Lead core reinsurance settlement activities including client reporting and reconciliations* Oversee and ensure data integrity across reinsurance systems and financial reporting outputs* Ensure compliance with contractual terms, internal controls, and company policies* Evaluate risks, discrepancies, and operational issues and recommend solutions.* Data, Business Intelligence & AI Enablement (35–45%)* Leverage data and business intelligence tools (e.g., Power BI, Alteryx, PowerQuery) to review trend/variance analyses and operational performance KPI’s* Utilize AI-enabled tools (e.g., Microsoft Copilot, ChatGPT, automation platforms) to review analyses of large volumes of data, data modeling* Improve efficiency in reconciliations, reporting, and documentation* Lead root-cause analysis and issue resolution* Evaluate UAT for client integrations* Review/approve process documentation for operational consistency* Lead implementation of automation and “tools of the future” within reinsurance workflows* Ensure outputs from systems, tools, and models are accurate, reliable, and well-controlled**Process Improvement & Operational Efficiency (20–25%)*** Evaluate/solution inefficiencies, manual processes, and control gaps within reinsurance operations* Drive process redesign, standardization, and documentation efforts* Lead or support initiatives focused on system integrations, automation, cycle time reduction, and scalability* Foster a culture of continuous improvement, leveraging data to prioritize and measure impact* Partner cross-functionally (Finance, Technology, Operations) to drive transformation efforts**What are the requirements needed for this position?****Education:*** Bachelor’s degree in accounting, Finance, Business, or related field **Experience.*** 3+ years of experience in finance/accounting.* Minimum 6+ years of experience in financial systems, data mapping, implementing automation solutions, business intelligence, working with digital transformation initiatives or “tools of the future” (e.g., AI tools, data platforms, workflow automation).* 5+ Experience analyzing large volumes of data/data modeling.* Experience in monitoring and oversight of system outputs.* Aptitude for learning and applying AI-enabled tools to drive productivity and insight generation (Co-Pilot, ChatGPT, Claude)Knowledge & Skills:* Experience designing and implementing Alteryx workflows.* Advanced skills in data analytics and BI tools (Power BI, Power Query, or similar)* Demonstrated ability to identify and implement process improvements and automation opportunities* Strong analytical and problem-solving skills with attention to detail* Ability to operate independently while influencing outcomes across teams and vendors* Strong communication skills with ability to translate operational issues into business insights* Control-minded with focus on accuracy, risk mitigation, and operational discipline* Proven mindset focused on efficiency, continuous improvement, and innovation**What are the Preferred requirements needed for this position?*** Experience in Property & Casualty (P&C) insurance or reinsurance environment* Strong understanding of reinsurance operations (premium, claims, settlements, reporting, reinsurance systems and data structures)* Proven track record leading system implementations or enhancements* Experience using AI-enabled tools to drive productivity and insight generation