Staff Product Analyst, Consumer

• Own the analytics for your product area. You partner with PMs across the Consumer funnel — landing page, quote flow, onboarding, approval, and activation — to define success metrics, find where users drop off, and make sure decisions are grounded in data. PMs make different calls because you're in the room.
• Be accountable for outcomes, not output. You're measured on the business impact of the decisions your analysis influences — conversion, approval rate, activation, retention — not the number of analyses you produce. You connect findings across experiments and cohorts to surface patterns a single analysis would miss.
• Own experimentation for your area. Design, instrument, and interpret A/B and multivariate tests — from CTA and quote-flow changes to eligibility and onboarding — with the statistical rigor to separate real lift from noise, and help raise the quality and speed of how the team runs experiments.
• Build deep customer and funnel understanding. Develop a rich picture of how different segments behave — return visitors, demographic cohorts, traffic sources — and turn it into product recommendations that improve conversion for each group.
• Own the quality of AI-assisted analysis. Our tools pull data, read configs, and draft analysis. You use them to move faster, and you own validating and sharpening what they produce. Human judgment over AI output, always.
• Make insights self-serve. Build dashboards and frameworks that let PMs and leaders answer their own questions, and communicate findings in clear narratives that drive alignment and action, including with senior stakeholders.

• 7+ years in product analytics, growth analytics, or data science, with real impact in high-growth, consumer-facing environments.
• A track record of changing what a product team built or prioritized — not just reporting on what shipped.
• You don't wait for a fully specified ask. You see the gap, frame the question, build the answer, and land it with the right audience.
• Expert SQL, and fluency with a modern analytics stack — Snowflake and a product analytics tool like Amplitude. Python (or R) and dbt are a plus.
• Deep experience designing and interpreting experiments and applying statistical rigor — regression, confidence intervals, hypothesis testing.
• Daily use of AI tools in your analytics workflow, with a clear-eyed sense of where they accelerate the work, where they get it wrong, and where your own judgment is non-negotiable.
• Strong communication and storytelling – able to turn complex analysis into clear, strategic narratives for PMs, engineers, and executives.

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.

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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.