About Ethos
Ethos (Nasdaq: $LIFE) 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
Ethos is seeking a Product Analyst who is investigative in nature, highly analytical, and passionate about process integrity and product quality. You’ll work cross-functionally to uncover root causes, design remediations, and support initiatives to improve and future-proof our systems. In this position you will support product and engineering teams along with compliance, helping to ensure Ethos maintains a high bar for customer experience, operational accuracy, and compliance by digging into data to answer the "why" behind the numbers.
Duties & Responsibilities
- Monitor key data and processes to proactively identify, track, and report issues, anomalies, or areas of risk
- Partner with business areas to surface and prioritize concerns, and translate them into clear, actionable findings
- Investigate complex issues independently, digging into large datasets to identify root causes
- Work closely with engineering and product teams to scope, resolve, and validate fixes for identified issues
- Proactively generate exploratory analyses and in-depth research on large data sets to help product teams uncover high-impact opportunities in the areas of risk
- Present findings and recommendations to product managers and stakeholders in a way that drives action
- Work cross-functionally to scale insights through improved monitoring and automation
- Help build a data-informed culture by making insights easy to find, understand, and act on
- Analyze results and help translate them into clear takeaways for the team
Qualifications & Skills
- 2+ years of experience in data analysis, data science, or data-driven product management
- Strong skills and comfort working with large datasets
- Experience with a data visualization tool (e.g., Looker, Tableau, Mode)
- Working knowledge of basic statistical concepts (e.g., regression, confidence intervals)
- 1+ years of experience with SQL preferred
- Strong critical thinking skills and ability to intuitively connect data points
- Skilled in leveraging data and analytical tools to support decisions and provide actionable insights
- Demonstrated ability to investigate complex issues independently, identify root causes, and propose effective solutions
- Clear written and verbal communication skills, able to explain data findings to a non-technical audience
#LI-Hybrid
#LI-KP1
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.