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
Ethos is looking for a Senior Revenue Operations Analyst to join our Sales Strategy & Operations team supporting B2C sales. This is a high-impact individual contributor role sitting at the intersection of sales analytics, process optimization, and systems ownership. In this role, you'll translate complex data into decisions that directly move revenue.
The Sr. Revenue Operations Analyst will drive infrastructure that powers our sales teams: funnel reporting, performance dashboards, experiment analysis, and the data quality standards. You're the kind of person who loves digging into data, spots broken metrics before anyone else notices, already has a hypothesis about why, and ships a fix before the next standup.
Duties and Responsibilities:
Analytics & Insights
- Own end-to-end reporting across the marketing-to-sales funnel, including leading indicators (dial volume, connect rate), in-process metrics (CVR by segment, handle time), and lagging outcomes (issued AP, persistency)
- Build and maintain dashboards in Mode, Hex, and Amplitude that give sales leadership a real-time pulse on performance
- Conduct deep-dive analyses on conversion rate trends, agent performance, campaign effectiveness, and channel mix; surface findings in a format executives can act on
- Design and evaluate A/B experiments across outreach cadences, agent workflows, and channel strategies; communicate results with statistical rigor and business context
- Partner with Sales and Finance on building models to help define initiatives such as compensation plans,headcount requirements, and other business critical models
AI Native
- Fluent in leveraging AI tools (Claude Code, ChatGPT, Gemini) to accelerate analysis, automate repetitive workflows, and surface insights faster
- Default to AI-augmented workflows: uses large language models to draft, analyze, and iterate at speed, while maintaining the judgment to know when to verify, push back, or go deeper
- Actively integrates AI into day-to-day work; from writing SQL and building dashboards to synthesizing qualitative feedback
Qualifications and Skills:
- 4+ years in Data Analytics, Revenue Operations, or a closely related analytical role — ideally in a B2C or high-velocity phone sales environment
- Strong SQL skills; experience querying large datasets to answer open-ended business questions, not just pull pre-defined reports
- Hands-on experience with dashboarding and analytics tools (Salesforce, Mode, Amplitude, Hex, or similar)
- Familiarity with sales tech stack tools like Regal, Balto, or comparable dialer/QA platforms is a plus
- Comfort operating in ambiguity: you scope your own work, ask the right clarifying questions, and don't wait for a fully defined spec to get started
- Strong English communication skills both written and verbal
- High bar for data accuracy; you treat a wrong number in a dashboard as a fire, not a footnote
- Available to work onsite in our Bangalore office on night shift hours (4:00 PM – 1:00 AM IST) to align with US-based sales teams
Nice to Have
- Master of Business Administration
- Experience with insurance, fintech, or other licensed sales environments
- Exposure to compensation modeling, quota design, or headcount planning workflows
#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.