Senior Data Analyst

BP&C • New York City, NY

1d • Onsite

About The Position

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.

Requirements

• Bachelor's degree in data science, statistics, business analytics, computer science, actuarial science, finance, or a related quantitative field.
• 5+ years of progressive experience in data analysis, business intelligence, analytics, regulatory reporting, or related functions within the Property & Casualty insurance industry.
• Demonstrated experience supporting regulatory reporting, statutory reporting, compliance initiatives, or financial reporting processes.
• Strong knowledge of insurance operations and data structures across policy, claims, underwriting, accounting, finance, or actuarial functions.
• Advanced proficiency in SQL and experience working with large-scale relational databases, data warehouses, and data transformation methodologies.
• Experience performing complex data analysis, reconciliation, root-cause investigation, and data quality assessments.
• Ability to independently manage multiple priorities and deliver results in a fast-paced environment.
• Proven ability to influence stakeholders and collaborate effectively across technical and business teams.
• Strong verbal, written, presentation, and data storytelling skills.

Nice To Haves

• Master's degree in quantitative, analytical, or business-related discipline.
• Experience with Snowflake, Python, Power BI, Tableau, or similar analytical and visualization platforms.
• Experience with data governance frameworks, metadata management, data lineage, and data quality programs.
• Intermediate or advanced Property & Casualty insurance designations (CPCU, AINS, AU, API, or equivalent).
• Experience partnering with Actuarial teams and supporting actuarial, financial, or regulatory reporting processes.
• Familiarity with cloud-based data platforms and modern data engineering concepts.

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 analysis and develop sustainable corrective actions that improve data integrity and reporting accuracy.
• Design analytical approaches for complex or ambiguous business problems where requirements may be incomplete or evolving.
• Identify opportunities to automate reporting, improve efficiency, and enhance data accessibility for business stakeholders.
• Build strong partnerships with Compliance, Finance, Underwriting, Claims, Actuarial, MGA Operations, Applications, and Data Engineering teams.
• Effectively communicate complex analytical findings to both technical and non-technical audiences.
• Develop clear narratives that connect data insights to regulatory, operational, and business outcomes.
• Challenge assumptions, provide data-driven recommendations, and influence prioritization of data and reporting initiatives.
• Champion data governance practices and contribute to the development of data standards, controls, documentation, and definitions.
• Establish and enhance data quality monitoring processes within assigned domains.
• Serve as a subject matter resource for analytical methodologies, reporting practices, and regulatory data requirements.
• Mentor and provide guidance to analysts by reviewing analytical approaches, sharing best practices, and supporting professional development.
• Promote a culture of continuous learning, collaboration, and analytical excellence.

Benefits

• health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities
• competitive compensation package
• performance-based incentives
• generous benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Senior