Senior Product Analyst

Ethos Life; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Peterson Ventures is looking for a data-driven analyst in Bengaluru, India. You will be a vital partner to product teams, using data to drive decisions and advocate for members' needs.

The ideal candidate has over 4 years of experience, expert SQL skills, and proficiency in data visualization tools. Responsibilities include defining metrics, analyzing trends, and presenting insights to leadership.

Join us to transform the life insurance experience!

Qualifications

• 4+ years of experience in data analysis or product management.
• Ability to independently build clear data visualizations.
• Familiarity with ERP and CRM systems.

Responsibilities

• Champion a data-driven culture across product teams.
• Define feature success metrics and analyze A/B experiment results.
• Communicate findings and recommendations to senior leadership.

Skills

SQL expertise

Data visualization tools (e.g. Snowflake, Tableau)

Statistical techniques

Python or R proficiency

Job description

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

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.

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