Ethos
Senior Director, Partnerships Analytics
Remote US · Director · Full-time
Sponsorship not specified$193k-$340kDetected 48 days ago
Data ScienceA/B TestingCadenceLeadershipCommunication
About the role
- Our third-party agent business is one of Ethos's most exciting growth engines.
- Our agent platform enables thousands of agencies and tens of thousands of agents to serve customers with fast, instant life insurance and a world-class agent experience - replacing a 9-week, paper-heavy process with a 3-day cash cycle on Ethos.
- Agents on our platform multiply their earnings by selling more, getting paid faster, and offering their customers a broader portfolio of products.
Responsibilities
- Business analytics & strategy. Define and quantify the levers that drive the business across the agent journey - sourcing, onboarding, activation, productivity, and retention. Frame the right questions for leadership and answer them with rigor.
- Core data foundations. Own the foundation everything else depends on: how we accurately calculate and pay agent commissions, calculate and resolve debt, measure retention, and attribute lifecycle activity. One source of truth, across the business.
- Team. Inherit and grow the analytics organization. Set the bar on hiring, performance, and craft. Build a team that other parts of Ethos want to learn from.
- Cross-functional partnership. Be an excellent partner to product, engineering, sales, operations, marketing, and finance - connecting dots across the business and turning insight into action.
- DTC annuities support. Support our growing direct-to-consumer annuities business with tracking, sales-funnel analytics, re-engagement experimentation, and a healthy A/B testing cadence.
- We're hiring a Senior Director of Analytics for the Third-Party Agent Business - the primary analytics and data science voice helping the leadership team of this business decide where to focus, what's working, and what to build next.
- Build a team that other parts of Ethos want to learn from.
- Be an excellent partner to product, engineering, sales, operations, marketing, and finance - connecting dots across the business and turning insight into action.
- DTC annuities support.
- Support our growing direct-to-consumer annuities business with tracking, sales-funnel analytics, re-engagement experimentation, and a healthy A/B testing cadence.
Requirements
- You can take an unfamiliar business question and break it down to the structures, data, and decisions that actually matter.
- Track record of fixing definitions, dictionaries, taxonomies, and data quality problems at scale.
Nice to have
- B2B2C experience preferred.
- You've analyzed performance across enterprise accounts, small businesses, agents, uplines, and end consumers all at once.
- Fintech, marketplaces, real estate tech, and insurance are all relevant
- no specific domain required.
Skills
- A foundations builder. Track record of fixing definitions, dictionaries, taxonomies, and data quality problems at scale.
- #LI-Remote #LI-MK1
- The US national base salary range for this full-time position is $193,000 - $340,000.
- You can find further details of our US benefits at https://www.ethoslife.com/careers/
Compensation
- The US national base salary range for this full-time position is $193,000 - $340,000.
Benefits
- 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 is redefining how life insurance is bought, sold, and underwritten.
- Set the vision for how the team uses AI to automate insight generation, focus humans on the highest-leverage work, and dramatically expand self-serve analytics.
- Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits.
This listing is sourced directly from Ethos's careers page and normalized into a canonical job model.