Claims Data Research Analyst at Everest Insurance transforming datasets into insights for strategic decision-making. Collaborating with leaders and IT partners in a hybrid environment.
Responsibilities
transform complex datasets into actionable insights that help drive strategic decision-making across the Claims organization
develop and maintain control structures to ensure data accuracy and quality across upstream and downstream systems
conduct data integrity gap analyses and partner with business and IT teams to resolve discrepancies
prepare monthly and quarterly claims analytics reports for leadership
analyze key performance indicators and support data-driven decision-making across the Claims organization
perform ad hoc reporting and deep-dive trend analysis using large, complex datasets
assist with forecasting, strategic planning, and operational analytics
support fraud detection, subrogation analysis, medical management reviews, and legal analytics
manage and maintain various claims-related databases
partner with business stakeholders to understand requirements and develop tailored data solutions
present findings in a clear, concise, and visually compelling format
Requirements
3-5 years of experience as a data analyst or experience in data mining (preferred)
insurance or reinsurance experience is helpful but not required
strong understanding of databases, data structures, and data quality principles
proficient in SQL, BI platforms, Python, and R
intermediate proficiency in VBA
skilled with Microsoft Office Suite (Word, Excel, Access, Project, Outlook)
excellent verbal and written communication skills
strong analytical thinking, time management, and organizational abilities
ability to work independently while managing multiple priorities
experience documenting functional requirements and working with cross-functional teams
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