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Delivering an industry-leading underwriting experience is critical to Ethos’ mission and will continue to drive our growth and success in the life insurance industry. We are seeking a Business Analyst whose primary focus will be improving and optimizing our underwriting engine. In this role, you will leverage data querying and analysis to identify opportunities, refine decision logic, and drive strategic underwriting initiatives that directly impact our customers and business outcomes.You’ll work across teams to design, analyze, and improve systems that directly impact the customer experience.
Job Responsibility:
Enhance and refine the logic of Ethos’ underwriting engine to improve accuracy, efficiency, and customer experience
Query, analyze, and interpret large datasets to identify optimization opportunities and guide underwriting improvements
Partner with risk, actuarial, product, and engineering teams to design and implement new rules, workflows, and data-driven processes
Monitor and evaluate the performance of underwriting logic, proactively identifying gaps or issues and proposing solutions
Develop and maintain processes for validating changes, testing logic updates, and ensuring high-quality system performance
Translate analytical findings into actionable recommendations for both technical and non-technical stakeholders
Support troubleshooting and resolution of system or data-related issues impacting underwriting
Requirements:
2–4 years of experience as a Business Analyst, Data Analyst, or in a related role
Strong logical and analytical thinking skills, with a proven ability to break down complex problems
Proficiency in querying and analyzing data (SQL or equivalent required)
Exceptional attention to detail and ownership mentality
Strong communication skills (written and verbal) and the ability to present data-driven insights to diverse stakeholders
A proactive, problem-solving mindset with a passion for improving processes and outcomes
Experience in the life insurance or financial services industry
Familiarity with business systems configuration or implementation projects
Background in quality assurance or data operations