Senior Data Analyst
Brookfield Wealth Solutions, Ltd•San Antonio, TX
•$116,382 - $166,260
About The Position
The Senior Data Analyst advances regulatory reporting, data quality, and analytical capabilities by transforming complex policy, claims, underwriting, and financial data into accurate, timely, compliant submissions. The role combines advanced data analysis, data engineering, insurance expertise, and business insight to address complex data challenges, influence decisions, and improve operational effectiveness and regulatory compliance. It serves as a trusted partner to business and technical stakeholders and provides mentorship and guidance to analysts.
Requirements
- Bachelor's degree in data science, statistics, business analytics, computer science, actuarial science, finance, or a related quantitative field.
- At least 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 with large-scale relational databases, data warehouses, and data transformation methodologies.
- Experience in 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.
- Ability to influence stakeholders and collaborate across technical and business teams.
- Strong verbal, written, presentation, and data storytelling skills.
Nice To Haves
- Master's degree in a 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 designation such as 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 for regulatory reporting, compliance initiatives, and strategic business decisions.
- Translate complex business requirements into scalable data solutions, analytical frameworks, and actionable insights.
- Analyze policy, claims, underwriting, financial, and operational data for accuracy, completeness, consistency, and regulatory compliance.
- Develop, optimize, and maintain complex SQL queries, data models, reconciliations, and datasets.
- Partner with Data Engineering and Application teams on data enrichment, transformation, and integration solutions.
- Support and enhance data platforms, reporting processes, and analytical assets.
- Own data preparation, validation, and reconciliation for statutory reporting, regulatory filings, annual statement reporting, premium tax reporting, market conduct examinations, audits, and ad hoc regulatory requests.
- Develop expertise in Property & Casualty insurance operations, regulatory reporting requirements, and statutory accounting principles.
- Ensure analytical outputs align with regulatory expectations and support business decisions.
- Translate regulatory and business requirements into sustainable data processes and controls.
- Diagnose data quality, integration, and reporting issues across systems and business functions; conduct root-cause analysis and develop corrective actions.
- Design analytical approaches for complex or ambiguous problems with incomplete or evolving requirements.
- Identify opportunities to automate reporting, improve efficiency, and enhance data accessibility.
- Build partnerships with Compliance, Finance, Underwriting, Claims, Actuarial, MGA Operations, Applications, and Data Engineering teams.
- Communicate complex analytical findings to technical and non-technical audiences, connecting insights to regulatory, operational, and business outcomes.
- Provide data-driven recommendations, challenge assumptions, and influence prioritization of data and reporting initiatives.
- Champion data governance and contribute to 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 analysts by reviewing their approaches, sharing best practices, and supporting professional development.
- Promote continuous learning, collaboration, and analytical excellence.
Benefits
- Annual bonus based on company and individual performance.
- Comprehensive benefits program, including health, dental, and vision coverage.
- 401(k) with company match.
- Paid time off.
- Professional development opportunities.
- Performance-based incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
