Job Description

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

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

We are looking for an ambitious self-starter with a strong track record of delivering results. This role will put you in the middle of the action, requiring you to tackle complex challenges in a rapidly-scaling startup. You will work cross-functionally to generate product insights in our direct-to-consumer business. Through critical thinking and analytical rigor, you will understand user behavior and engagement, enabling us to innovate on our product. You will also provide visibility into performance drivers, empowering leaders to make data-supported decisions. If you thrive in a fast-paced, mission-driven, and impact-oriented environment, we encourage you to apply!

Responsibilities

• Work closely with PMs to define feature goals and lead A/B testing and experimentation initiatives, including designing tests, tracking events and properties, and analyzing results to understand attribution, causation, and incremental lift.
• Proactively generate exploratory analyses and in-depth research on large data sets to help product teams uncover high-impact opportunities.
• Use your wizardly data querying and visualization skills to answer any question in a way that provides actionable insights.
• Develop easy-to-consume dashboards and frameworks to monitor and visualize KPIs.
• Influence strategic changes by presenting insights and recommendations to various organizational levels, including executives.
• Collaborate with data engineers to maintain consistent business logic throughout the organization.
• Foster a data-driven, test-and-learn culture with your passion for storytelling through data and surfacing insights via analytics, experimentation, and research into the user journey and customer.

Requirements

• (No specific requirements listed in the provided text)