Claims Data Analyst

Role Description

We are seeking a Claims Data Analyst Contractor (12-month CONTRACT) to support the migration of data sources into production environments while ensuring the accuracy, reliability, and integrity of data processes. In this role, you will contribute to a strategic initiative focused on ingesting and transforming various BDX data sources, applying robust validation and quality-control logic, and delivering meaningful claims analytics and insights to business stakeholders.

Key Responsibilities

• Validate and ensure the reasonability of data decisions, including:
• Handling duplicate claims
• Identifying line of business and claims-made vs. occurrence data
• Review fidelity of validation and configuration logic:
• Confirm appropriate columns are checked
• Ensure configurations are logical and functional
• Verify validation failures are handled correctly
• Identify data anomalies in policy or related datasets and escalate to appropriate teams

Qualifications

• 3+ years of Claims experience, including data cleanup and working with imperfect claims data
• Broad insurance experience preferred; E&S experience ideal

Requirements

• SQL: Basic to intermediate proficiency
• Excel: Intermediate to advanced proficiency
• Alteryx: Some experience preferred, but not required
• Python: Bonus

Ideal Candidate Profile

You are detail-oriented, analytical, and comfortable working with complex insurance datasets. You thrive in environments where data quality and logical consistency are paramount, and you can collaborate effectively with technical and business stakeholders.

Benefits

• Comprehensive and best-in-class benefits package
• Paid time off for company holidays, vacation, sick and personal days
• Paid parental leave
• Mental health services

Company Description

Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions.