San Francisco, CA
On-site
Metriport is an open-source data intelligence platform that helps healthcare organizations access and exchange patient data in real-time. We integrate with all major US healthcare IT systems and tap into comprehensive medical data for 300+ million individuals.
We've found product-market fit with multi-million ARR, 100+ customers (including Amazon, Color, and Strive Health), backing from top VCs, and years of runway. We're ready to scale. We're a tight-knit, high-performing team of mostly former founders (including two YC alumni). We're engineering-heavy, operate with minimal bureaucracy and high autonomy, and hire based on competence, not prestige. We push hard—founders work six days a week from our SF office—but give everyone freedom to craft their schedule. We measure output and we're committed to sustainable intensity.
We're looking for an analytics powerhouse who acts like a product owner. You aren't just a "dashboard builder" — you're the person who turns raw clinical data into decisions that move the business, and a core builder of our data foundation.
You're entrepreneurial-minded, with an olympian-level work ethic.
You are obsessed with data integrity. If a metric is off by 1%, it keeps you up at night until you find the root cause.
You believe that high-quality clinical data is the bedrock of excellent healthcare, and you're excited to map complex patient records into structured, efficient warehouses for downstream use.
You care more about the insights and the "so what?" than just the technical complexity of the query.
You have a strong sense of ownership and the ability to lead cross-functional initiatives with minimal direction.
When someone asks for a report by next week, you ask yourself "how can I build a self-service tool that answers this permanently by tomorrow?"
You're a hacker at heart, and you're comfortable writing code to get the job done.
After quickly ramping up on our clinical data domain, your goal is to own the "brain" of Metriport — the bridge between raw engineering output and actionable insights for customers and the team. Day to day, this looks like:
Owning Data Quality and Analytic Integrity: Ensuring that every chart, report, and insight we share — internally or externally — is 100% accurate and trustworthy.
Owning the Analytics Stack: You'll be the primary owner of our analytics tooling (e.g., PostHog) and ensure these systems are correctly implemented, optimized, and accessible across the company.
Productizing Analytics: Designing and shipping analytic features as core parts of the Metriport platform — giving customers tools to understand their patient population from our UI or their data warehouse.
Building the Data Foundation: Modeling and transforming raw warehouse data into clean, documented schemas (dbt or similar) that the entire company can trust and build on.
Stretching into Data Science: As our data function matures, you'll have the opportunity — and we'll expect the interest — to apply statistical models, ML techniques, or LLM-based tooling to clinical data problems (e.g., predicting care gaps, normalizing messy records).
Team alignment: Participating in a daily 30-minute remote standup at 7:30 AM PST Mon–Fri (our only regular mandatory meeting).
4+ years of experience in a data analytics role at a high-growth or startup company.
SQL mastery: You can write complex, performant queries in your sleep — our warehouse spans hundreds of millions of clinical records across dozens of sources.
Tooling expertise: Deep experience with product analytics tools (PostHog, Mixpanel, Amplitude, or similar) and BI platforms.
Coding proficiency: Comfortable in Python or TypeScript for data manipulation and automation — you don't wait for someone else to write the script.
Data modeling: Experience with dbt or similar tools to transform raw warehouse data into clean, documented schemas.
Location: San Francisco / Bay Area (or willing to relocate).
Experience with healthcare data — FHIR, HL7, or clinical data. Understanding how a patient moves through the healthcare system is the core of what we do.
Exposure to ML/statistical modeling (scikit-learn, basic classification/regression, experimentation frameworks). We're building a data function where analysis and science live close together.
Competitive equity + compensation package 🚀
Full family Platinum health insurance, dental, and vision coverage 🦷
401(k) retirement plan + matching 💰
Flexible work from home or in-office 🏢
Healthy lunches are complimentary when working in-office (and breakfast + dinners as needed) 🍏
Quarterly company off-sites with the team ⛷️
MacBook provided by us 💻
Unlimited PTO (we work hard, but trust you to take time you need to be at your best) 🧘♂️
Our data lives in PostgreSQL, DynamoDB, S3, Snowflake, and a FHIR server. We use dbt for transformations and Posthog for product analytics. Our infrastructure is managed via AWS CDK, and our core platform is written in TypeScript and Python. We are looking for a generalist who can jump into any part of this stack to extract value.
Metriport provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
Metriport