About Ethos
Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We’ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age.
Our full-stack technology platform is the backbone of family financial health.We make getting life insurance easier, faster and better for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families!
About the Role
As the Senior Manager of Product Analytics in the direct-to-consumer (DTC) vertical, you will lead a high-performing team while remaining hands-on in your approach. You will work closely with Product, Engineering, and Lifecycle teams to define goals, analyze user behavior, and generate insights that influence decision-making and product prioritization. This role balances technical contributions with mentoring and coaching a team, fostering a culture of collaboration, innovation, and data-driven decision-making. Your work will have a direct impact on optimizing user experience and improving growth and acquisition efforts.
Duties and Responsibilities
- Partner with PMs to define feature goals, implement tracking, and analyze results from experimentation to measure success.
- Lead and mentor a team of product analysts, providing career development and technical guidance.
- Balance hands-on technical work, including developing dashboards and querying data, with leadership responsibilities.
- Build and execute a multi-quarter roadmap for analytics, ensuring alignment with product and business goals.
- Perform exploratory analyses and deep dives into large data sets to uncover actionable insights, trends, and opportunities across the product funnel.
- Collaborate with Engineering to implement well-defined taxonomies and ensure analysis-friendly data production.
- Foster a data-driven culture by promoting best practices in experimentation, causal inference, and storytelling through data.
- Present findings and recommendations to executives and cross-functional stakeholders in a clear and actionable manner.
Qualifications and Skills
- 8+ years of experience in data analysis, data science, or a related field, with a focus on product analytics.
- 3+ years of experience as a people manager, with a demonstrated ability to mentor and lead teams.
- Expert knowledge of SQL.
- Strong expertise with data visualization tools (e.g., Tableau, Looker, Amplitude) and a scripting language such as Python or R (preferred).
- Proven track record of designing and analyzing A/B tests and applying experimentation best practices.
- Experience with statistical methods, such as regression analysis and hypothesis testing.
- Ability to balance hands-on technical contributions with leadership responsibilities in a fast-paced environment.
- Strong communication skills, with the ability to effectively present insights and recommendations to various audiences, including executives.
#LI-Hybrid#LI-DG1Don’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 who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. 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.
