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Data Analyst - Data & Analytics

External
Everest Re logoEverest Re · Warren, NJ
$88K–$125K/yrFull-timeHybridToday
AgileCore DataData AnalysisData ModelingData WarehousingETL
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Responsibilities

  • Partner with technology teams to design and deliver scalable data solutions that provide high-quality, reliable data for business use
  • Drive adoption and business value from data, analytics, and BI solutions across functions
  • Translate business needs into clear data and technology requirements
  • Collaborate across business units to standardize and optimize enterprise data assets
  • Support data governance and data quality initiatives in close partnership with Technology
  • Act as a subject matter expert (SME) for business data inquiries
  • Perform ad hoc analysis by extracting, transforming, and modeling data from multiple sources
  • Validate and sign off on data deliverables to ensure accuracy, consistency, and adherence to standards
  • Contribute to Agile delivery of data initiatives in partnership with Technology teams
  • What You Bring
  • Bachelor's degree in Computer Science, Mathematics, Physics, or a related technical field
  • 3+ years of experience in data analytics or a related role
  • Strong understanding of core data concepts, including:
  • Data modeling (dimensional modeling)
  • ETL processes
  • Data warehousing
  • Data governance frameworks
  • Structured and unstructured data
  • Familiarity with metadata management, data lineage, and business glossaries
  • Advanced SQL skills and strong analytical capabilities
  • Intermediate to advanced proficiency in Microsoft Excel
  • Strong interpersonal skills with the ability to work across business and technology stakeholders
  • Excellent communication skills, including the ability to translate complex data concepts into business-friendly insights

Requirements

  • Experience in insurance, reinsurance, or financial services
  • Exposure to modern data platforms and cloud-based analytics environments
  • Experience supporting data governance initiatives
  • #LI-Hybrid
  • #LI-AS1
  • Our Culture
  • 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. This includes day to day interactions with fellow colleagues, and the global communities we serve.
  • Type:
  • Regular
  • Time Type:
  • Full time
  • Primary Location:
  • Warren, NJ
  • Additional Locations:
  • New York, NY
  • Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or cre

Benefits

Health insurance401(k)Paid time off

Additional Information

Title: Data Analyst - Data & Analytics Company: Everest Global Services, Inc. Job Category: Analytics Job Description: About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world. Data Analyst - Data & Analytics Join Everest's Data & Analytics team as a Data Analyst, where you will play a key role in advancing the firm's enterprise data strategy. This role sits at the intersection of business and technology, combining hands-on data analysis, data solutioning, data delivery, and stakeholder engagement to enable high-quality reporting and analytics across the organization.


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