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Ethos is a life insurance technology company transforming how life insurance is bought, sold, and underwritten. The company operates a three-sided platform serving consumers, agents, and carriers, offering instant, accessible products with no medical exams required.
As a Product Analyst, you will be investigative and highly analytical, working cross-functionally with product, engineering, and compliance teams to uncover root causes, design remediations, and support initiatives that improve system integrity and product quality. Your focus will be on ensuring high standards for customer experience, operational accuracy, and regulatory compliance.
Key responsibilities include:
- 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, translating 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
- Generate exploratory analyses and in-depth research on large datasets to uncover high-impact opportunities in risk areas
- Present findings and recommendations to product managers and stakeholders in ways that drive 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 translate them into clear takeaways for the team
Requirements:
- 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
- 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
