Senior Analyst – Data Products

Everest

Senior Analyst – Data Products supporting the design and delivery of Insurance data products at Everest. Collaborating with IT and business teams for actionable data solutions and ensuring data quality.

Posted 6/12/2026full-timeWarren • New Jersey, New York • 🇺🇸 United StatesSenior💰 $134,000 - $175,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudSQL

About the role

Key responsibilities & impact

Join Everest’s Data & Analytics team as a Senior Analyst – Data Products, where you will support the design, delivery, and ongoing enhancement of Insurance data and analytics products.
Support the Data Product Owner, business stakeholders, and IT teams to translate business needs into actionable data solutions, ensure data quality, and enable reliable, scalable analytics.
Partner with the Data Product Owner and business stakeholders to elicit, document, and prioritize data and analytics requirements.
Translate business needs into clear user stories, data definitions, mappings, and acceptance criteria for data and technology requirements.
Perform data analysis and validation using SQL to support requirements, issue investigation, and data quality assurance.
Support the design and delivery of data pipelines, curated datasets, and data products for Insurance use cases (e.g., Underwriting, Claims, Finance).
Collaborate with technology data teams to ensure successful delivery of data products, including participation in planning, testing, and release activities.
Execute and support UAT, QA, and release management processes, ensuring solutions meet business and data quality expectations.
Investigate and resolve data issues and discrepancies, partnering with business and IT teams and supporting production issue resolution.
Drive continuous improvement in analytics tools, methodologies, and capabilities.
Contribute to data quality, governance, and documentation efforts, including data definitions, lineage, and metadata management.

Requirements

What you’ll need

Bachelor’s degree in Information Systems, Computer Science, Analytics, Business, or a related field.
5–8 years of experience in data analysis, business analysis, or data product delivery within an enterprise environment.
Strong proficiency in SQL and data analysis, with experience validating and reconciling data across systems.
Experience working with data platforms, data warehouses, or cloud environments (e.g., Snowflake, Azure, or similar).
Hands‑on experience with requirements elicitation, user stories, and Agile delivery practices.
Exposure to data governance and catalog tools (e.g., Collibra) and understanding of data quality and lineage concepts.
Experience in the insurance industry, with understanding of data across domains such as Claims, Policy, Underwriting, or Finance, preferred.
Strong communication and problem‑solving skills, with ability to work across business and technical teams.

Benefits

Comp & perks

health insurance coverage
employee wellness program
life and disability insurance
401k match
retirement savings plan
paid holidays
paid time off (PTO)

ATS Keywords

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Hard Skills & Tools

SQLdata analysisdata validationdata reconciliationdata pipelinesdata productsrequirements elicitationuser storiesAgile deliverydata governance

Soft Skills

communicationproblem-solvingcollaborationorganizational skillsstakeholder management