Ethos Life - Principal Analyst
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Requirements
• Experience Baseline: 5 to 8 years of experience in product analytics, business intelligence, data science, or analytically intensive individual contributor roles at high-growth tech startups or well-established firms. • Technical Mastery: Non-negotiable expert knowledge of SQL. Strong foundational knowledge of statistics and predictive data modeling is highly desired. Familiarity with scripting languages (Python or R) is a major plus. • Technical Mastery: • AI-Native Workflow Fluency: Proven history of actively leveraging modern Large Language Models (like ChatGPT or Claude) inside your day-to-day workflow to streamline writing, debug calculations, and automate personal efficiency. Must rank in the top 10% of AI-fluent analysts. • AI-Native Workflow Fluency: • Analytics Stack Exposure: Experience utilizing advanced visualization, dashboarding, and AI-enabled analytics environments (such as Hex, Tableau, Mode, or Excel). • Analytics Stack Exposure: • Unstructured Problem Solving: Exceptional talent for entering highly ambiguous situations, slicing past data records proactively to expose root causes, and organizing disparate facts into clear corporate narratives. • Unstructured Problem Solving: • Executive Presentation Agility: Superior written and verbal communication skills; comfortable defending high-stakes analytical summaries to the corporate C-suite and Board of Directors. • Executive Presentation Agility: • Education: Advanced degree in a quantitative domain (Statistics, Economics, Computer Science, Engineering, Applied Math) or equivalent practical technical background. • Education: • #LI-Remote #LI-MK1 • #LI-Remote #LI-MK1 • The US national base salary range for this full-time position is $127,000 - $224,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. • 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. • You can find further details of our US benefits at https://www.ethoslife.com/careers/ • 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.
Responsibilities
• Strategic Partnerships Data Lead: Serve as the primary analytics thought partner and data expert for the Partnerships leadership team, spearheading strategic decisions around agent acquisition, baseline pricing, and new market opportunities. • Strategic Partnerships Data Lead: • Core Product Analytics: Track, evaluate, and optimize the agent-facing platform experience. Define precision usability metrics for new product features to ensure engineering sprint cycles drive positive user actions. • Core Product Analytics: • Operational Risk & Commission Debt Architecture: Build diagnostic data models to analyze, track, and mitigate backend financial exposure. Slice historical operational datasets to pinpoint risk concentration hotspots within external agencies and design targeted debt recovery frameworks. • Operational Risk & Commission Debt Architecture: • Strategic Input Modeling: Isolate critical growth levers across the agent journey to define the definitive onboarding metric (the "aha moment") that yields a positive snowball effect on platform retention and aggregate revenue generation. • Strategic Input Modeling: • Funnel Optimization: Manage performance frameworks and monitor conversion steps for our emerging annuities business lines using a classic Direct-to-Consumer (D2C) funnel approach. • Funnel Optimization: • Data Democratization & Infrastructure: Collaborate with data engineers and broader analytics teams to maintain scalable business logic, deploy clean tracking dashboards, and enable self-service analytics across the organization. • Data Democratization & Infrastructure: • Tooling Innovation: Actively build, test, and integrate advanced generative AI tools to automate internal analytics processes and maximize delivery speed. • Tooling Innovation: • Team Mentorship: Provide ongoing guidance, peer code reviews, and tactical leadership training to distributed junior analytics resources across our global offices. • Team Mentorship:
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