Lead Reinsurance Data Analyst (Accounting + Data Analytics)

Assurant; Chennai District; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Assurant in India seeks a Lead Reinsurance Data Analyst to drive accuracy, controls, and efficiency across reinsurance operations. The role spans multiple locations including Bangalore, Hyderabad, Gurgaon, and Chennai.

You will lead settlement activities, ensure data integrity, and apply BI/AI tools to improve reconciliations, reporting, and documentation, while guiding automation and cross-functional initiatives.

Qualifications

• Bachelor’s degree in accounting, finance, business, or related field.
• 3+ years of experience in finance/accounting.
• Minimum 6+ years of experience in financial systems, data mapping, implementing automation solutions, business intelligence, or digital transformation initiatives.
• 5+ years of 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).

Responsibilities

• 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.
• Leverage data and BI tools to review trend analyses and KPI performance.
• Utilize AI-enabled tools to review analyses of large data sets and data modeling.
• Improve efficiency in reconciliations, reporting, and documentation.
• Lead root-cause analysis and issue resolution.
• Assess UAT for client integrations.
• Review/approve process documentation for consistency.
• Lead automation initiatives within reinsurance workflows.

Skills

Data analytics

Power BI

Automation

AI tools

Data modeling

Process improvement

Independent work

Education

Bachelor’s degree in accounting, Finance, Business, or related field

Tools

Alteryx

Power Query

SQL

Job description

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.

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

Any posted pay range considers a wide range of compensation factors, including candidate background, experience, and work location, while also allowing for salary growth within the position.

Our unique culture is a big reason why talented people choose Assurant. Named a Best/Great Place to Work in 14 countries and awarded the Fortune America’s Most Innovative Companies recognition, we bring together top talent around the world. Although we have a wide variety of skills and experiences, we share common characteristics that are uniquely Assurant. A passion for service. An ability to innovate in practical ways. And a willingness to take chances. We call our culture The Assurant Way.

Assurant is a leading global business services company that supports, protects, and connects major consumer purchases. A Fortune 500 company with a presence in 21 countries, Assurant supports the advancement of the connected world by partnering with the world’s leading brands to develop innovative solutions and deliver an enhanced customer experience through mobile device solutions, extended service contracts, vehicle protection services, renters insurance, lender-placed insurance products, and other specialty products.

Assurant supports the responsible use of Artificial Intelligence (AI), but we want to know the real you. Visit our AI Usage Guidelines page to understand what we expect from applicants regarding their use of AI during the application process. Since we would like to know the real you, we require that all of our virtual interviews be conducted on video.

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. See our Privacy Notice to learn about Assurant’s privacy practices, including our use of AI-enabled technology, automated decision making, and biometric information.

Assurant is an Equal Employment Opportunity employer and does not use or consider race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by federal, state, or local law in employment decisions.