Data Analyst

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. In 1 year we:

• Acquired 10,000 paying and loving clinicians and exceeded $11M ARR

• Generated 70,000 patient notes daily and over 1 million monthly

• Made thousands of clinicians happier

With the backing of Sequoia, the best VC in the world, we are rapidly expanding our product offering. Patient facing assistant, patient insights, EHR integrations, and other products are being built and used by thousands of clinicians and millions of patients.

We are looking for entrepreneurs. Fast, ambitious, and smart individuals who want to take care of the people who take care of our health.

Expect intense, clinician-focused, and interesting co-workers who want to win.

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.

• 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

• 2-4 years of professional experience in data analytics or a related field.

• High proficiency in SQL and data visualization tools.

• Comfort with scripting languages for data analysis (Python preferred, but R acceptable).

• Strong understanding of experiment design and A/B testing.

• Strong collaboration, communication, and ability to turn findings into recommendations.

• A proactive, independent work style and strong prioritization skills.

• Ability to wrangle messy startup data and work through high ambiguity.

• Deep curiosity, attention to detail, and bias towards action.

• Competitive salary and equity in a high-growth company.

• Opportunity to make an immediate impact.

• Medical, dental, and vision benefits for US-based employees.

• Unlimited PTO.

• Company-sponsored annual retreats.