Product Data Analyst

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About Freed

Doctors are overworked, burnt out, and are quitting in masses. At Freed, we combine clinician love with the latest AI tech and intense execution to create products that make clinicians happier. Our first product is an AI scribe that automates medical documentation.

Since May 2023, we have acquired 26,000 paying and loving clinicians, generated 100,000 patient notes daily and over 3 million monthly, and made thousands of clinicians happier.

With the backing of Sequoia Capital and other world‑class VC’s, we are rapidly expanding our product offering. Patient‑facing assistants, patient insights, EHR integrations, and other products are being built and used by thousands of clinicians every day.

We are looking for entrepreneurs—fast, ambitious, and smart individuals who want to take care of the people who care for our health. Expect intense, clinician‑focused, and interesting co‑workers who want to win.

With an office in San Francisco, we embrace a hybrid schedule that brings out the best in teamwork and innovation. Our teams come together in person three days a week to collaborate, connect, and have a little fun along the way.

About the Role

We’re looking for a Data Analyst to join our growing Product team and support our data‑driven culture. In this role, you will work directly with product managers, engineers, data analysts, and business stakeholders to harness data and empower teams to make faster and better decisions.

This role focuses on execution, and you’ll uncover and deliver insights, build dashboards, track metrics, design experiments, and analyze results to drive decisions. You’ll work closely with our product teams; understand context, users, and goals; and actively contribute to Freed’s mission of improving clinician happiness.

We’re seeking someone who thrives in a collaborative, fast‑paced environment, has a sharp analytical mindset, and can turn data into actionable recommendations.

How You’ll Have Impact

• Guide our teams to make better decisions with data
• Create metrics, dashboards, and experiments that give us a better understanding of our product and clinician behaviors
• Partner with stakeholders to translate their needs into clear analysis and insights
• Collaborate with engineers to improve data models, transparency, and accessibility
• Deliver repeatable, scalable, self‑serve solutions instead of one‑off deliverables

What You’ll Bring

Nice to Haves

What We’ll Bring

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