Business Analyst

About Ethos

Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.

About The Role

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.

Duties And Responsibilities

• 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.
  
  

Qualifications And Skills

• 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—you’re comfortable diving deep into both systems and data.
• 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.
  
  

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

We are an equal opportunity employer.. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.

To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

Recruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com.

We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.

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