Principal Data Analyst

About This Role

This Principal Data Analyst role is central to Ethos's data-driven decision-making, focusing on establishing and advancing the company's data foundations and self-serve analytics strategy. The position involves designing and maintaining core data systems, models, and tools to ensure a single source of truth, while also empowering stakeholders to independently access and act on insights. It suits a candidate with a blend of strategic vision and hands-on execution skills.

Responsibilities

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

Requirements

• 8+ 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

Nice to have:

• Experience with AI/ML tools to support analytics workflows

About the Company

Ethos (Nasdaq: $LIFE) is a leading life insurance technology company focused on protecting families by democratizing access to life insurance and empowering agents at scale. It transforms the life insurance experience for consumers, agents, and carriers through its robust three-sided technology platform, offering instant, accessible products with a seamless online process.