Senior Data Analyst

About the role

The Senior Data Analyst plays a critical role in advancing the organization's regulatory reporting, data quality, and analytical capabilities. This position owns the end-to-end transformation of complex policy, claims, underwriting, and financial data into accurate, timely, and compliant regulatory submissions while driving improvements in data processes, governance, and reporting standards. As a senior analytical professional, this role combines advanced data analysis, data engineering, insurance domain expertise, and business insight to solve complex data challenges, influence decision-making, and identify opportunities that improve operational effectiveness and regulatory compliance. The Senior Data Analyst serves as a trusted partner to business and technical stakeholders and provides mentorship and guidance to analysts across the organization.

Responsibilities

• Design and execute advanced analyses to support regulatory reporting, compliance initiatives, and strategic business decisions.
• Transform complex business requirements into scalable data solutions, analytical frameworks, and actionable insights.
• Analyze policy, claims, underwriting, financial, and operational data to ensure accuracy, completeness, consistency, and regulatory compliance.
• Develop, optimize, and maintain complex SQL queries, data models, reconciliations, and datasets to improve performance, scalability, and reusability.
• Partner with Data Engineering and Application teams to design and implement data enrichment, transformation, and integration solutions.
• Support and enhance data platforms, reporting processes, and analytical assets using modern data technologies and best practices.
• Own data preparation, validation, and reconciliation activities supporting statutory reporting, regulatory filings, annual statement reporting, premium tax reporting, market conduct examinations, audits, and ad hoc regulatory requests.
• Develop deep expertise in Property & Casualty insurance operations, regulatory reporting requirements, and statutory accounting principles.
• Ensure analytical outputs align with regulatory expectations and support sound business decision-making.
• Translate regulatory and business requirements into sustainable data processes and controls.
• Independently diagnose data quality, integration, and reporting issues across multiple systems and business functions.
• Perform root-cause