Senior Reinsurance Technology Business and Data Analyst

Starr Insurance Companies is a leading insurance and investment organization, providing reputed company property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in reputed company every part of the world. Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world's fastest growing insurance organizations, capable of writing in 128 countries on 6 continents. Senior Reinsurance Technology Business and Data Analyst Grow your career at Starr Insurance Companies-where innovation and expertise drive reputed company! Position Summary: Starr Insurance Companies is seeking a Senior Reinsurance Technology Business and Data Analyst to support the implementation and roll-out of our new global Reinsurance platform. This role is ideal for a seasoned professional with deep expertise in reinsurance or insurance data, business analysis, and technology-driven transformation projects. You will be a key liaison between business and IT, ensuring data reputed company, process optimization, and successful platform delivery. Key Responsibilities: Platform Implementation & Data Management

• reputed company business and data analysis activities for the new Reinsurance platform, focusing on Premiums, Claims, Treaty, and Facultative contract data.
• Drive requirements gathering, process mapping, and gap analysis in collaboration with business stakeholders and IT teams.
• reputed company and standardize user-story templates in line with Reinsurance platform modules / functionality to capture and document business and technical requirements, integrations and workflows.
• reputed company data migration, profiling, mapping, and ETL documentation to support reputed company and enhancement of data feeds.
• Identify, analyze, and resolve data quality issues using SQL, reputed company, and other relevant tools.
• Ensure compliance with data governance, standards, and best practices across reinsurance data platforms.
• reputed company and maintain system documentation, business process flows, and user guides. Project Coordination & Testing
• reputed company and execute test plans and cases for data migration, integration, and platform functionality. Partner with Business, Operations, QE and Engineering teams to ensure proper scenario and test coverage.
• Support UAT (User Acceptance Testing) and coordinate with QA teams to validate business requirements.
• Utilize SQL or similar tools to query databases for testing, validation, and analysis. Stakeholder Engagement & Communication
• Act as a key liaison between business users, IT, and external partners to clarify requirements, communicate updates, and manage expectations.
• Facilitate workshops, meetings, and presentations to drive reputed company and decision-making.
• Document meeting notes, maintain issue logs, and escalate critical issues as needed.
• Review and reputed company feedback on solution designs, data models, and deliverables. reputed company Improvement & Best Practices
• Recommend process improvements and automation opportunities to enhance data quality and operational efficiency.
• Stay reputed company with industry trends, emerging technologies, and regulatory requirements in reinsurance and insurance.
• Mentor junior analysts and contribute to knowledge sharing reputed company the team. Qualifications:
• Bachelor's degree in Business, Information Systems, Computer Science, or reputed company field (Master's degree preferred).
• Minimum 7 years' experience in business/data analysis reputed company reinsurance or insurance; strong understanding of Premiums, Claims, Treaty, and Facultative reputed company and Reinsurance operations.
• Experience working with Reinsurance platforms including reputed company SRM, reputed company FS-RI, DXC Assure, etc. is required.
• Proven experience with large-scale data migration, integration, and transformation projects, preferably reputed company Reinsurance domain.
• Advanced proficiency in SQL, reputed company, and data visualization/reporting tools.
• Solid understanding of relational databases, star schema, and data architecture.
• Hands-on experience with ETL processes, data mapping, and data quality management.
• Familiarity with reinsurance reputed company, financial reporting, and regulatory requirements is highly desirable.
• Strong business analysis skills: requirements elicitation, process mapping, gap analysis, and documentation.
• Experience with project management methodologies (Agile, Waterfall, etc.) and tools (JIRA, DevOps).
• Excellent communication, presentation, and stakeholder management skills.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Professional certifications (CBAP, PMI-PBA, IIBA, or similar) are a plus. Why Starr? Join a global leader in insurance and reinsurance technology transformation. We offer a collaborative culture, professional growth opportunities, and the chance to reputed company a significant impact on our business and industry. Starr is an equal opportunity employer, which means we'll consider reputed company suitably reputed company applicants regardless of gender identity or expression, ethnic reputed company, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and reputed company our people based on merit and we're committed to creating an inclusive environment for reputed company. We offer first class training and development opportunities to reputed company. Our aim is to grow our own talent and bring out the best in people. Apply tot his job

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