Senior Product Analyst
Join Ethos Life as a Senior Product Analyst to drive data-driven decisions and insights for product teams in a hybrid work environment.
Posted by employer 2 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Experience
- 4+ years
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In the role of Senior Product Analyst at Ethos Life, the individual will engage in data analysis to support product teams, translating complex datasets into actionable insights that drive decision-making. Key skills include advanced SQL proficiency, experience with data visualization tools, and a solid understanding of statistical techniques. This position is ideal for someone with over four years of experience in data analysis or product management, who can effectively communicate findings to both technical and non-technical stakeholders. Ethos Life is focused on transforming the life insurance industry, making this a pivotal role in a dynamic and innovative environment.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Ethos Life's career page.
- Ethos Life has 70 other open roles including Manager- Life Underwriting, Life Underwriter, IT Engineer.
- 6536 active Python roles on Joblaze right now.
- 2277 active SQL roles on Joblaze right now.
- 451 active Snowflake roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3234 roles). See Python salary trends
Quick facts
- Is the Senior Product Analyst role remote?
- It's hybrid — Ethos Life expects some on-site time in Bangalore, India.
- How much experience is required?
- At least 4 years of relevant experience for this Senior Product Analyst role.
- Where is the role based?
- Ethos Life is hiring for this position in Bangalore, India.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: A/B Testing, Mode, Python, R, SQL, Snowflake.
- What seniority level is this role?
- Ethos Life targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Product Analyst role at Ethos Life.
From the original posting
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.