Principal Analyst

Duties And Responsibilities

• 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.
• 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.
• 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.
• 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.
• Manage performance frameworks and monitor conversion steps for our emerging annuities business lines using a classic Direct-to-Consumer (D2C) funnel approach.
• 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.
• Actively build, test, and integrate advanced generative AI tools to automate internal analytics processes and maximize delivery speed.
• Provide ongoing guidance, peer code reviews, and tactical leadership training to distributed junior analytics resources across our global offices.

Qualifications And Skills

• 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.
• 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.
• Analytics Stack Exposure: Experience utilizing advanced visualization, dashboarding, and AI-enabled analytics environments (such as Hex, Tableau, Mode, or Excel).
• 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.
• Executive Presentation Agility: Superior written and verbal communication skills; comfortable defending high-stakes analytical summaries to the corporate C-suite and Board of Directors.
• Educational Background: Advanced degree in a quantitative domain (Statistics, Economics, Computer Science, Engineering, Applied Math) or equivalent practical technical background.

Pay

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.

Benefits

You can find further details of our US benefits at https://www.ethoslife.com/careers.