Staff Data Analyst

Overview

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

Ethos is a data-driven company, and analytics is at the heart of how we make decisions. We are looking for a Staff Data Analyst who will own and drive the data foundations and self-serve analytics strategy for the company. This role will be responsible for designing and maintaining the systems, models, and tools that serve as our single source of truth, while empowering stakeholders to independently access and act on insights.

The ideal candidate has a proven track record of building data systems at scale and driving adoption of self-serve analytics. This role requires a rare combination of vision and hands-on execution: you’ll set the direction for how data is modeled, monitored, and consumed — and also roll up your sleeves to build, validate, and ship solutions. You’ll also explore opportunities to bring AI into analytics workflows, enabling faster, more intuitive self-serve access to insights across the business.

Duties And Responsibilities

• Data Foundations: Design, build, and validate event-based foundational data models to serve as the single source of truth for funnels, experiments, and core business metrics.
• Self-Serve Enablement: Build scalable datasets, dashboards, and monitoring systems in tools like Amplitude and Mode to allow teams to self-serve insights.
• AI Integration: Identify and implement AI-driven capabilities to enhance analytics workflows, improve discoverability, and reduce dependency on manual analyst support.
• Reliability & Trust: Establish monitoring, alerting, and documentation to ensure accuracy, consistency, and reliability of all core metrics.
• End-to-End Ownership: Scope, design, build, validate, and deploy analytics solutions — from raw data pipelines to executive-facing dashboards.
• Adoption & Impact: Partner with stakeholders to understand their top use cases, deliver raw datasets and clean metrics, and ensure broad adoption of self-serve tools.
• Vision & Strategy: Anticipate future needs, identify gaps, and define scalable solutions that raise the bar for the analytics function.
  
  

• 7+ years of experience building and scaling data models, pipelines, and self-serve analytics systems.
• Expert-level SQL and strong experience with DBT or equivalent transformation frameworks.
• Hands-on experience with BI/self-serve tools such as Amplitude, Mode, or Looker.
• Deep understanding of event-based data modeling and instrumentation best practices.
• Strong experience building monitoring and alerting for data reliability.
• Ability to translate complex technical concepts into actionable insights for non-technical stakeholders.
• High bar for data quality and accuracy; detail-oriented with strong validation practices.
• Proven track record of driving adoption of self-serve analytics across teams.
• Experience with AI/ML tools to support analytics workflows is a strong plus.
  
  

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 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.

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.