Product Analyst

India·Bangaloremid

Data AnalystData

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Quick Summary

Overview

About Ethos Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale.

Technical Tools

Data AnalystData

Ethos 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.

About the Role

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We're looking for a curious, data-driven analyst who thrives at the intersection of product and analytics. You'll be a key thought partner to our product teams — turning complex data into clear decisions and advocating for our members through every insight you surface.

Responsibilities

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→Champion a data-driven culture across product teams by setting standards for measurement, instrumentation, and insight communication
→Partner closely with Product Managers to define feature success metrics, implement event tracking, build dashboards, and analyze A/B experiment results
→Proactively conduct exploratory analyses and deep-dive research on large datasets to uncover high-impact opportunities in risk, fraud detection, and pricing
→Serve as the go-to expert for product data — answering complex questions quickly and translating findings into clear, actionable insights for stakeholders and executives
→Communicate not just what the data shows, but what it means — delivering recommendations with confidence to senior leadership
→Advocate for our members by ensuring their needs are represented in every product decision informed by data

Requirements

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4+ years of experience in data analysis, data science, or data-driven product management
Expert-level SQL skills, with the ability to work across large, complex datasets
Strong proficiency with data visualization tools (e.g. Snowflake, Mode, Tableau) to convey insights to both technical and non-technical audiences
Proven ability to independently build clear, compelling data visualizations that communicate trends, patterns, and recommendations to a range of audiences
Solid experience with A/B testing and experimentation frameworks and best practices
Working knowledge of statistical techniques including linear and logistic regression, confidence intervals, and chain ladder methods
Proficiency in Python or R for scripting, automation, and advanced analysis
Familiarity with enterprise business systems (e.g. ERP, CRM, or product platforms) and an understanding of how operational data flows inform product analytics

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.