Senior Analyst – Data Products

Everest•Warren Township, NJ

1d•$134,000 - $175,000•Hybrid

About The Position

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. This role reports to and works closely with 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. The role combines business analysis, data analysis, and data product support responsibilities, with a strong focus on requirements, data validation, and delivery execution across enterprise data platforms.

Requirements

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.
Strong communication and problem‑solving skills, with ability to work across business and technical teams.

Nice To Haves

Experience in the insurance industry, with understanding of data across domains such as Claims, Policy, Underwriting, or Finance, preferred.

Responsibilities

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.