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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst, Analytics & AI Insights - **Company:** The Everest Group - **Location:** Warren, NJ, United States - **Experience:** Starter - **Salary:** $77,000.0 - $105,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Data Mining, Data Structures, Document-Oriented Databases, Python (Programming Language), Power BI, Standard Sql, SQL Databases, Scripting, Large Language Models, Information Technology, Data Analytics - **Published:** August 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=05ae23a88ca31862 ## About the Role Everest Insurance, a member of Everest Re Group Ltd., is seeking a Data Analyst with 1-3 years of relevant experience within the P&C insurance industry. This role is ideal for someone with strong data mining and analytical skills, who is eager to contribute in a fast-paced, collaborative environment., * Bachelor's degree in Statistics, Mathematics, Computer Science, MIS, or a related field. * 1-3 years of experience in data analytics, reporting, or business intelligence within the Property & Casualty (P&C) insurance industry. * Ability to learn new tools and technologies quickly. * Working knowledge of SQL and/or Excel for data analysis and reporting. * Familiarity with data structures and basic data modeling concepts. * Basic understanding of scripting tools such as Python or R. * Exposure to applying Gen-AI and LLM concepts to business analytics is a plus. * Ability to interpret data and communicate insights clearly. * Strong attention to detail and data accuracy. * Good communication and collaboration skills. Preferred Skills & Attributes * Curiosity and interest in applying AI/automation to solve business problems. * Strong organizational skills and ability to manage multiple priorities. * Collaborative mindset with the ability to work across business and IT teams. * Comfort working in a fast-paced, agile environment. ## Description The Data Analyst will partner with business stakeholders and IT teams to support reporting, analytics, and AI-driven insights. The role focuses on analyzing data, building dashboards, and leveraging modern tools (including Gen-AI & Co-Pilot) to enhance decision-making and operational efficiency., * Develop and maintain enterprise level reporting and analytical applications using emerging technology, and able to handle high volume data and complex calculations. * Extract, clean, and transform data from multiple sources using SQL, Excel, or other tools. * Leverage AI-enabled tools (e.g., Power BI Copilot, Python-based libraries, or LLM tools) to enhance data analysis, automate insights, and improve reporting efficiency. * Perform data analysis to identify trends, patterns, and insights across underwriting and business performance metrics. * Ensure data quality and accuracy through validation and reconciliation of datasets. * Support recurring reporting and ad hoc analytical requests from business stakeholders. * Assist in the development of data models and reporting structures * Collaborate with IT and data teams to understand data sources and improve reporting solutions. * Document data definitions, report logic, and key metrics to support consistency and transparency. * Translate analytical findings into clear visualizations and business-friendly insights., At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. * Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging. * Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together. All colleagues are held accountable to upholding and supporting our values and behaviors across the company. 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