Senior Product Analytics Engineer

Novellia is the first and only company that lets anyone in the U.S. gain access to nearly a decade of their health data in under 30 seconds — 100% free. All your health records, across every doctor, in one place, always up to date.

We are the only patient-powered real-world data platform delivering comprehensive, patient-authorized longitudinal health insights to accelerate biopharma innovation. Unlike traditional RWD providers who deliver fragmented institutional data, we empower patients to access 20+ years of their health records, then transform these complete health journeys into fit-for-purpose datasets for evidence generation, regulatory submissions, and market access. We are growing 5x year over year, have raised close to $30M in funding, and are backed by tier-1 investors including Spark Capital, Khosla Ventures, and Bling Capital.

Working with the world's top researchers, we turn health insights into life-changing action for millions of people around the world.

We're looking for a Senior Analytics Engineer who is genuinely obsessed with understanding how people use products. We need someone who partners with product and engineering to figure out what we should be measuring in the first place, and then builds the infrastructure to measure it reliably, rather than just someone who builds pipelines.

You've worked at a consumer company before and understand what it means to chase PMF. You've dug into retention curves, built funnel analyses, and identified the moments in a product that actually move the needle. You know that the hardest part often isn't the SQL: it's asking the right question.

In this role, you'll own analytics engineering as it relates to product and growth. Product and product design are your primary stakeholders. You are their data partner and a peer in those conversations: someone who steers roadmap discussions, pushes back on assumptions, and makes sure the right questions are being asked before anything gets built. You'll define what good product analytics looks like at Novellia, back into the event tracking and data models needed to get there, and build the clean, reliable infrastructure that powers product and growth decisions. You'll also work alongside analytics engineers on the team who own clinical and research data, so collaboration and clear ownership boundaries matter here.

You will report directly to the Manager, Data and Analytics. This is a senior individual contributor role. You will be the internal authority on product analytics, set the standard for how we instrument and measure our product, and influence product direction through the quality and clarity of your work. You'll also be working with one of the most interesting datasets in consumer health: longitudinal patient records spanning years of real health history across doctors and health systems, at a scale that is genuinely rare for a company at this stage. The questions you get to ask here are not the same ones you'd find at a typical consumer startup. We're a small team, which means your work has a direct impact from day one.

We have a clear picture of what our product metrics and funnels should look like, and our event tracking is built to support them.

Product and product design treat you as a core member of the team, not a service. You are in the room when features are being shaped, not just asked for numbers after they ship.

We have a clear, shared understanding of our core product and growth metrics: activation, engagement, retention, and what drives each.

Our dbt models are clean, documented, and built so that anyone can build on them.

We're making product decisions grounded in data, not instinct.

Experience in healthcare or digital health.

Familiarity with healthcare data formats like FHIR or CCDA.

Experience with NLP or working with unstructured clinical text.

Contributions to open-source data projects.

Experience with mobile analytics instrumentation, including mobile-specific tracking quirks like session lengths, deep links, and push attribution.

A track record of building self-serve dashboards that non-technical stakeholders actually use.

Familiarity with structured growth frameworks, North Star metrics, or AARRR.

Genuinely curious about product and design: you care why users do what they do, and you can speak the language of both a PM and a designer

Comfortable being the person who asks 'but are we measuring the right thing?'

Proactive and high-ownership: you bring solutions, not problems.

Low-ego in collaboration: you make the people around you more effective.

Energized by building things that actually change how a company makes decisions.