Product Analyst

Posted 8 Hours Ago
Be an Early Applicant
Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Consumer Web • Fintech • Insurance
Ethos blends industry expertise and technology to provide accessible and affordable life insurance coverage.
The Role
Partner with product teams to define success metrics, instrument tracking, build dashboards, run A/B tests, analyze large datasets for fraud/risk/pricing, and translate insights into actionable recommendations for stakeholders and senior leadership.
Summary Generated by Built In
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. 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

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.

Duties & Responsibilities

  • 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

Qualifications & Skills

  • 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

#LI-Hybrid

#LI-PP1

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.

Skills Required

  • 4+ years of experience in data analysis, data science, or data-driven product management
  • Expert-level SQL skills with ability to work across large, complex datasets
  • Proficiency with data visualization tools (Snowflake, Mode, Tableau)
  • Proven ability to independently build clear, compelling data visualizations and dashboards
  • 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 (ERP, CRM, or product platforms) and understanding of operational data flows
  • Strong communication skills to translate findings and deliver recommendations to stakeholders and senior leadership
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The Company
HQ: Austin, TX
687 Employees
Year Founded: 2016

What We Do

Ethos makes getting life insurance instant and easy. Our approach blends technology and industry expertise, and the human touch to deliver an incredible life insurance experience. Ethos has raised over $400 million of capital from Sequoia, Accel, Google Ventures, Goldman Sachs, Softbank and more. We are one of the largest U.S. life insurance issuers. We continue to scale quickly and are looking for passionate Ethosaurs to protect the next million families.

Why Work With Us

Ethos is powered by people from all kinds of backgrounds. We embrace a one-team, one-dream mentality, while encouraging Ethosaurs to speak their mind and act boldly, even in the absence of consensus. We believe in decentralized decision making - not decisions made by committee. Here you can have an impact and true ownership over your successes.

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