Note: The job is a remote job and is open to candidates in USA. Function Health is the AI operating system for health, focused on empowering individuals to improve their health through advanced diagnostics and AI-enabled insights. They are seeking an Analytics Engineer to own the member experience strategy, drive NPS improvements, and build analytical infrastructure using AI coding tools.

Responsibilities

• Analyze all member feedback and NPS data to identify patterns, root causes, and early warning signals
• Design solutions that eliminate recurring issues at the system level, not just resolve individual cases
• Drive NPS improvement through data-driven, operationally grounded initiatives
• Own the full improvement cycle: issue identification, solution design, implementation, and impact measurement
• Proactively identify where processes will break as volume and complexity increase
• Build analytics and reporting directly from raw member data using SQL and AI coding platforms, without relying on existing BI tools
• Define metrics, dashboards, and monitoring systems from the ground up
• Use AI coding tools to prototype workflows, automate analysis, and accelerate insight generation. This is a core part of how you work, not a supplementary skill
• Run rapid experiments, measure outcomes, and iterate quickly in a resource-constrained environment
• Translate analytical insights into actionable recommendations for Product, Operations, and Clinical teams
• Lead cross-functional initiatives driven by data, owning execution through to measurable outcomes
• Build strong relationships with stakeholders and influence priorities across the organization without direct authority
• Ensure insights turn into durable processes or system changes that scale
• Present data-driven recommendations to senior leadership and drive accountability for outcomes

Skills

• SQL skills with experience building analytics from raw datasets
• Hands-on, ongoing experience with AI coding tools such as Cursor, Claude, Replit, Lovable, Bolt, or Base44 in a professional context or in substantial side or personal projects. You should have specific examples you can speak to. This is a baseline requirement for the role, not something you will learn on the job
• Comfort working without established BI tools or a data team around you. You are often the only person who can answer the question you are trying to answer
• Proven ability to identify root causes in member or customer feedback, implement scalable solutions, and drive measurable improvements through data-driven decision making and rapid experimentation
• Demonstrated ability to translate insights into actionable recommendations for Product & Operations, influence without direct authority, and follow through relentlessly to ensure implementation and measure outcomes
• Exceptional written and verbal communication with the ability to present findings to senior leadership, influence cross-functional partners, and maintain collaborative relationships across all organizational levels
• Bachelor's degree or equivalent practical experience
• 2+ years in analytics, data engineering, or operations roles with demonstrated impact
• Startup or high-growth tech environment experience is strongly preferred
• Direct-to-consumer or high-touch service products where member experience is a core metric
• Side projects or examples of self-directed technical builds using AI coding tools. We treat these as meaningful signal

Benefits

• Stock options
• Comprehensive health, dental, and vision plans for you and your family
• Wellness and commuter benefits
• Competitive vacation policy
• A culture that emphasizes learning
• Professional development budget for continued learning
• Opportunity to directly impact our mission of saving lives through early cancer detection

Company Overview