Overview
This senior analyst role supports regulatory and statistical reporting responsibilities. Responsibilities include helping lead end-to-end regulatory reporting—covering reporting inventory, filing calendar, report production, reconciliation, controls, documentation, and submission processes for required state, statistical, and regulatory obligations.
Responsibilities
- Lead end-to-end regulatory reporting activities, including requirements gathering, data analysis, reporting validation, stakeholder coordination, process improvement, and submission support.
- Support and strengthen the regulatory and statistical reporting process, including reporting inventory, filing calendar, report production, reconciliation, control execution, and submission workflow.
- Develop and maintain reporting requirements, data specifications, business rules, validation routines, procedures, and audit-ready documentation for recurring regulatory and statistical filings.
- Prepare, validate, reconcile, and support submission of required regulatory and statistical reports, aligning results to accounting, actuarial, claims, operational, and published financial statement data where applicable.
- Partner with Legal, Compliance, Accounting, Actuarial, Claims, Product, Technology, Operations, and Data & Analytics teams to interpret requirements, resolve data issues, assess reporting impacts, and support regulatory inquiries, data calls, audits, and examinations.
- Identify and implement opportunities to improve reporting efficiency, automation, data quality, governance, controls, regulatory compliance, and long-term process sustainability while adhering to company policies and procedures.
Requirements
- Advanced knowledge of customer, policy, claims, financial, and operational data used to support insurance reporting, regulatory obligations, and business decision-making.
- Strong understanding of insurance regulatory reporting, statistical reporting, compliance-critical reporting processes, and related data requirements.
- Knowledge of how regulatory filings and statistical submissions connect to customer, policy, claims, premium, loss, accounting, actuarial, and published financial statement data.
- Understanding of state insurance regulations, reporting statutes, regulatory bulletins, and industry reporting standards.
- Knowledge of data governance, data quality, reporting controls, reconciliations, and audit-ready reporting practices.
- Experience with regulatory reporting organizations, including ISO, TICO, MCAS, and state Departments of Insurance, preferred.
- Excellent analytical, critical thinking, reconciliation, variance analysis, and problem-solving skills.
- Ability to interpret business and regulatory requirements and translate them into reporting processes, data requirements, business rules, and validation criteria.
- Ability to investigate complex reporting issues, identify root causes, and resolve discrepancies across multiple systems, functions, and data sources.
- Strong organizational skills to manage multiple regulatory reporting deadlines, priorities, and deliverables in a deadline-driven environment.
- Ability to build effective partnerships across Accounting, Legal, Actuarial, Claims, Product, Technology, Operations, and Data & Analytics teams.
- Excellent written and verbal communication skills, including stakeholder management, relationship-building, attention to detail, ownership, and independent work capabilities.
- Advanced SQL experience required, including querying, data validation, reconciliation, and reporting analysis.
- Experience with Power BI or other reporting and business intelligence tools preferred.
- Experience working with large, complex datasets and translating data into accurate reporting outputs.
- Experience establishing reporting controls, reconciliations, procedures, and audit-ready documentation.
Additional Knowledge and Skills (AI-enabled environment)
- Ability to use AI tools (e.g., Microsoft Copilot) to support daily work.
- Skills in evaluating AI outputs for accuracy, compliance, and bias.
- Experience integrating AI into workflows to improve efficiency or insights.
- Familiarity with AI-assisted research, summarization, and content generation.
- Understanding of responsible AI use, including ethics and data protection.
Preferred Qualifications
- Insurance industry experience strongly preferred.
Experience & Education
- 5+ years of data analysis, project management, and presentation skills required.
- 2+ years of SQL/Python experience required.
- 5+ years of senior analyst experience in customer insights, business analytics, reporting, regulatory reporting, statistical reporting, financial reporting, or a related insurance analytics function strongly preferred.
- 3+ years of regulatory reporting, statistical reporting, reconciliation, financial reporting, compliance analytics, audit-ready reporting controls, or related governance experience strongly preferred.
- Bachelor’s Degree in Finance, Economics, Mathematics, Statistics, or similar quantitative field required.
- Master’s Degree in Finance, Economics, Mathematics, Statistics, or similar quantitative field preferred.
Compensation & Benefits
- Base pay range: $96,000 - $151,000.
- Eligible for a performance-based incentive plan.
- Full-time employees are eligible to participate in health benefits on day one of employment.
- Benefits available on day one, including:
- 401K matching
- Bonding leave for new parents (12 weeks, 100% paid)
- Tuition assistance
- GM employee auto discount
- Community service pay
- Nine company holidays
- Competitive pay and bonus eligibility.
Location
Additional Information
- This position is not open to agency submissions.
- Posting will remain open until filled.