(JBJ149) CLAIMS DATA RESEARCH ANALYST

Everest


Everest is a leading global reinsurance and insurance organization with extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. We believe that our future is determined by the actions we take today, encompassing values important to our employees and the communities in which we operate. Key Responsibilities - Develop control structures within a simple environment to ensure the accuracy and quality of data through all upstream and downstream data channels. - Provide thought leadership and participate in projects involving upstream or downstream data flows and processes. - Ensure controls are in place over applications to guarantee data integrity by performing data integrity gap analysis. - Coordinate the resolution of data integrity gaps by working with business owners and IT. - Work with business partners to gather and understand functional requirements, develop complex queries, and provide reports. Responsibilities - Prepare monthly/quarterly claim analytics reports for management. - Analyze key performance indicators for the Claims organization. - Work with large datasets for ad hoc reporting and trend analysis. - Assist with forecasting and claims strategy. - Help with fraud, subrogation, medical management, and legal analytics. - Manage various claim-related databases. - Research data irregularities. - Present all data in a clear and concise format. Requirements - Prior experience as an analyst and/or knowledge of data mining is preferred. - Prior insurance or reinsurance experience is preferred but not mandatory. - Strong analytical and time management skills. - Intermediate facilitation skills with the ability to drive issues to closure. - Self-motivated and able to handle tasks with minimal supervision or questions. - Ability to deliver a high level of customer service. - Proficiency in Structured Query Language (SQL), Power BI. - Intermediate level proficiency with VBA. - Proficiency with Microsoft Word, Excel, Access, Project, and Outlook.

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