
Insurance Statistical Data Analyst
Martin & Company
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $60,000 - $75,000 per year
About the role
- Prepare, validate, and submit WC reports, including WCPOLS, WCSTAT, IDC/MDC, and Financial Data Calls.
- Submit reporting to ISO and NISS for other P&C lines.
- Perform data reconciliations and quality checks (e.g., premium/exposure alignment, loss consistency, LCM impacts).
- Resolve bureau edits and exceptions; identify root causes and recommend process improvements.
- Ensure compliance with state-specific reporting requirements and bureau deadlines.
Requirements
- 3–5+ years of P&C insurance data reporting experience, with a focus on Workers’ Compensation.
- Bachelor’s degree in Accounting, Finance, Math, Statistics, Data Analytics, or related field, or equivalent experience.
- Direct experience with: WCPOLS, WCSTAT, IDC/MDC, Financial Data Calls ISO and NISS reporting
- Strong Excel skills (advanced formulas, lookups, pivots), flat file handling, and QA techniques.
- Knowledge of statistical plans, class/stat codes, LCMs/tiers, deductibles, and loss components (IBNR, ALAE/ULAE).
- Strong written and verbal communication skills.
- Close attention to detail and accuracy
- Strong regulatory awareness
- Analytical problem solving
- Effective project and deadline management
- Collaborative working style
- Legal authorization to work in the United States is required.
Benefits
- Health, dental, and vision insurance
- 401(k) retirement plan options
- Profit Sharing
- Generous, flexible paid-time-off (PTO) policy
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
P&C insurance data reportingWorkers’ CompensationWCPOLSWCSTATIDC/MDCFinancial Data CallsExceldata reconciliationQA techniquesstatistical plans
Soft Skills
written communicationverbal communicationattention to detailregulatory awarenessanalytical problem solvingproject managementdeadline managementcollaborative working style