Principal Product Analyst

Ethos Life; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Benefits package

Equity

Paid time off

Parental leave coverage

Job summary

Ethos Life in New York seeks a senior product analytics leader who combines deep customer understanding with strategic judgment to shape growth across high-impact product lines. You’ll own the analytics roadmap and partner with product, design, engineering and executives to land actionable recommendations.

Expect portfolio-wide experimentation, AI-driven analyses, and a push to raise analytics standards. Proficiency in SQL and modern stacks (Snowflake, dbt, Amplitude, Hex, Mode) is required,

Qualifications

• 8+ years of product analytics experience in consumer-facing, high-growth environments.
• Strong SQL foundations and data logic reasoning.
• Deep expertise in experiment design, causal inference, and power analysis.
• Proficiency with Snowflake, dbt, Amplitude, Hex and Mode.

Responsibilities

• Partner with product, design, engineering and executives to shape strategy across high-impact product lines.
• Own experiment strategy across product areas including design, guardrails and interpretation.
• Validate and sharpen AI-driven analyses; ensure output quality and usefulness.
• Develop deep models of customer behavior to inform roadmap decisions.
• Identify high-leverage questions and present clear recommendations to leadership.
• Raise the bar for analytics rigor across the team and cross-functional partners.

Skills

Product analytics

Experiment design

Causal inference

Strategic thinking

Leadership

SQL

Tools

Snowflake

dbt

Amplitude

Hex

Mode

Job description

• This is a senior and highly influential role built around judgment, strategic impact, and deep analytical craft. It starts with genuine understanding of our customers, our business, and the dynamics that drive growth. That understanding is your core asset. You use it to identify the highest-leverage questions, spot opportunities the business hasn’t seen yet, and show up in product and leadership conversations with clear recommendations that change what gets built
• The AI infrastructure we’ve built changes what’s possible for someone in this role. Mechanical analysis moves faster than ever. That frees you to operate at a higher level: training our systems on what good looks like, reviewing and sharpening their output, and bringing the judgment no model can replicate. We’re further along than most, but there’s no finished playbook for this yet. You’d be shaping it
• You go deep in analytics, experimentation, and growth. AI gives you the reach
• You’ll partner directly with product, design, engineering, and executive leadership to shape strategy across high-impact product lines. Nobody has fully cracked how AI transforms product analytics. We’re moving fast, the foundations are real, and there’s room to have massive impact from day one. If you want to be one of the people who shapes how this gets done, this is the role
• 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

Benefits

• Comprehensive benefits packages: Awesome medical dental, vision and as applicable insurance coverage and retirement plans (in the US we offer a 401(k) plan).
• Company Equity: We want you to feel and act like an owner.
• Rest, relax & recharge: We encourage our employees to take time off, in addition to our fully paid global company holiday schedule. When you need time away from work, we have paid and flex time options based on your role and location, and additional paid leave programs.
• Generous leave programs: As well as offering a wide array of leave programs, new parents can take leave with 100% wage replacement. Our healthcare plans offer coverage on family planning and fertility.

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 deckYou 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 teamComfortable 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 off8+ years of product analytics experience in consumer-facing, high-growth environmentsYou’ve changed what gets built, not just reported on what shippedDeep 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-negotiableIf 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