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.
What You’ll Do
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 proficie