Senior Claim Data Analyst

One80

1d•Onsite

About The Position

The Senior Claim Data Analyst holds a strategic leadership position within the Claims department, focusing on converting intricate data into actionable insights. This role involves overseeing data analytics initiatives, guiding junior analysts, and facilitating strategic decision-making across various lines of business including Commercial Auto, General Liability (GL), Workers’ Compensation (WC), and Enterprise Risk Management (ERM). The analyst will collaborate with internal stakeholders and Third-Party Administrators (TPAs) to uphold data integrity, ensure regulatory compliance, and achieve optimal claim outcomes.

Requirements

5+ years of experience in insurance claims analytics or a similar data-focused role.
Strong proficiency in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau).

Nice To Haves

Bachelor’s degree in Data Analytics, Statistics, Risk Management, or a related field.
Experience working with Origami or other claim systems and TPA data feeds.
Prior experience with and/or understanding of captive insurance.
Understanding of regulatory and compliance requirements in claim handling.

Responsibilities

Lead data strategy initiatives and junior analysts.
Analyze claim data across multiple lines of business to identify trends, anomalies, and opportunities for improvement.
Develop and maintain dashboards and reports to monitor claim performance metrics (e.g., loss ratios, severity, frequency, etc.).
Support TPA oversight by providing data-driven evaluations of performance and compliance.
Oversee compliance, financial, and actuarial reporting and ensure alignment with regulatory standards.
Partner with Claims leadership to develop predictive models and benchmarking tools.
Ensure data quality and consistency across internal systems and TPA feeds.
Assist in the development of best practices for data governance and reporting.
Present findings and recommendations to senior leadership in a clear, actionable format.
Drive cross-functional collaboration to enhance claims analytics capabilities.
Collaborate with IT and Data Engineering teams to enhance data infrastructure and reporting capabilities.