Staff Product Analyst, Consumer

at Ethoslife

Bangalore, India, hybrid, staff, full time, 7+ years

posted 24 Aug 2026

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Amplitude
Confidence intervals
Hypothesis testing
R
Multivariate testing
Snowflake
dbt
Regression
A/B testing
SQL
Python

About the role

Posted: 2026-08-24

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.

This is a high-impact role for an analyst who wants to own the data behind a core part of our Consumer business and use it to change what gets built. You'll partner directly with product, design, and engineering to drive how we grow the direct-to-consumer funnel — from the moment someone lands on the site, through quote and approval, to activating their policy.

It starts with a real understanding of our customers, our funnel, and the levers that move conversion and retention. That understanding is what makes your analysis worth acting on. You use it to find the highest-leverage questions, spot opportunities the team hasn't seen yet, and bring recommendations that change roadmap decisions rather than just describe what happened.

The AI infrastructure we've built changes what this role looks like day to day. Mechanical analysis is faster than it has ever been, which frees you to spend your time on the parts that need judgment: framing the right question, validating what the tools produce, and drawing the conclusion the business should act on. We're further along on this than most companies, and we're still writing the playbook — you'll help shape it.

You go deep in analytics and experimentation on your product area, and AI gives you the reach to cover more ground than a traditional analyst.

What you would do

- 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.

Read from job-boards.greenhouse.io, last seen 4d ago.

What they are looking for

- 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.

#LI-Hybrid #LI-NG1

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.