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Ethos blends industry expertise and technology to provide accessible and affordable life insurance coverage.
Principal Product Analyst
Location
United States
Posted
74 days ago
Salary
$166K - $260K / year
Seniority
Lead
Job Description
Principal Product Analyst
Ethos
• Insight that drives product decisions. You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you're in the room. • Deep customer and business understanding. You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews. • Experimentation at portfolio scale. Own experiment strategy across your product areas — design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows. • AI system quality and judgment. Our agents pull data, read configs, and produce draft analyses. You own the quality of that output — validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always. • Connecting dots no one else sees. You operate across product areas, experiments, and data sources — surfacing patterns, opportunity-sizing insights, and strategic bets that siloed analysis misses. You shift how leadership thinks about growth. • Raising the bar for the entire team. You set the standard for how AI and analytical rigor work together. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster — you make it the team's new baseline.
Job Requirements
- 8+ years of product analytics experience in consumer-facing, high-growth environments
- You don't wait for a spec. You see the gap, frame the question, build the answer, and land the insight with the right audience. You move at 5x the speed of a traditional analyst — not by cutting corners, but by leveraging every tool available. When you solve a problem, you solve it for the team.
- You've changed what gets built, not just reported on what shipped.
- Deep expertise in experiment design, causal inference, and power analysis — combined with daily use of AI tools and a clear-eyed understanding of where they accelerate, where they hallucinate, and where human judgment is non-negotiable.
- You can make an executive care about a p-value and a data engineer care about a business metric. You write clearly, present with conviction, and know when a Slack message beats a slide deck.
- Comfortable across the modern analytics stack (Snowflake, dbt, Amplitude, Hex, Mode). Strong SQL foundations — not because you'll write every query by hand, but because you need to reason through data logic, validate AI-generated output, and debug when something's off.
Benefits
- US national base salary range of $166,000 - $260,000
- Compensation details reflect base salary only, not including bonuses, equity, or benefits
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