Business Data Analyst

Responsibilities:

• Perform detailed source-to-target analysis, including transformation logic and data interpretation across MGA, TPA, and internal systems and data governance needs.
• Develop and maintain business data dictionaries aligned to canonical CLIENT’S landing models.
• Conduct gap analysis between existing BU data structures and CLIENT’S standard models.
• Define business validation rules, data quality standards, and rule hierarchies for CLIENT’S Delegated Authority data from MGA / TPAs.
• Develop validation playbooks to support consistent data intake across Business Units and external partners.
• Support discovery and analysis of MGA and TPA data capabilities, formats, and system constraints.
• Develop and maintain partner system capability matrix.
• Contribute to the design of partner data onboarding playbooks and interface approaches (real-time API and bordereaux).
• Facilitate SME Councils, BU discovery sessions, and Data Governance forums

Basic Qualifications:

• 8–10+ years’ experience as a Senior Business Analyst in data-centric or enterprise transformation programmes.
• Strong experience working with complex, high-volume transactional data (policy, premium, exposure, claims, financial movements).
• Experience performing detailed data analysis, source-to-target mapping, and business data definition.
• Experience defining data quality rules, validation frameworks, or data governance standards.
• Experience engaging directly with external partners, vendors, or third-party data providers.
• Strong understanding of delegated authority insurance datasets, bordereaux processes, or equivalent delegated business models (preferred).
• Experience supporting enterprise data model or data standardization initiatives.
• Excellent stakeholder management skills, with the ability to challenge, shape requirements, and drive agreement across senior stakeholders.

Education:

• Bachelor's degree in Computer Science or equivalent real-world experience