Senior Analyst – Data Products

About the role

Everest is a global leader in risk management, committed to enabling businesses and economies to thrive. As a Senior Analyst – Data Products, you will play a crucial role in designing, delivering, and enhancing data and analytics products for the Insurance domain.

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.

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.
• 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.

Qualifications

• 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.

Pay

The base salary range for this position is $134,000 - $175,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location.

Schedule

This role is full-time and regular time.