Senior Analyst – Data Products

About the role

Everest is a global leader in risk management, committed to enabling businesses and economies to thrive through disciplined capital allocation and long-term value creation. 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.

Skills

• SQL
• Data analysis
• Data pipeline design
• Data product development
• Agile delivery practices
• Data governance
• Data quality assurance

Benefits

• Base salary range: $134,000 - $175,000 annually.
• Comprehensive benefits package including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).

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.

Contact

If you have any questions or need accommodations during the application or interview process, please contact Everest Benefits at everestbenefits@everestglobal.com.