Research Associate contributing to NIH - funded studies in Dr. Christina Dyar's lab. Managing operations and participant communications, while contributing to manuscripts and presentations.
About the role
- 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
- bachelor’s degree in a related field preferred
Benefits
- health insurance coverage
- access to a variety of benefits to employees
- employee wellness program
- life and disability insurance
- 401k match
- retirement savings plan
- paid holidays
- paid time off (PTO)
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