Analytics Engineer

Our Mission

Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive.

But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.

Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in‑person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around.

In time, this will drive quality up and prices down.

We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.

Zocdoc is seeking a Staff Analytics Engineer to join a centralized team responsible for defining, creating, and maintaining a scalable and robust analytics layer that powers Zocdoc’s strategic analytics, operations, and reporting capabilities. As a Staff‑level member, you'll lead the design and implementation of complex data transformations and production‑grade data models, establishing standardized datasets that drive critical decision‑making across the organization.

Collaborating closely with Product Management, Product Engineering, Data Engineering, and Analytics teams, you'll ensure data solutions are strategically aligned, efficient, and consistently reliable, enabling teams across Zocdoc to rapidly gain meaningful insights from high‑quality data.

• Excited about designing and building strategic data products that drive impactful outcomes across the entire organization
• Passionate about solving complex, high‑impact problems using data and analytics at scale
• Committed to setting a high bar for technical excellence and continuously improving whatever you're working on
• A collaborative leader who enjoys working cross‑functionally in a supportive and highly cooperative environment
• Enthusiastic about architecting scalable data solutions using cutting‑edge technologies to support long‑term business strategies

• Defining and enabling trusted, strategic datasets and analytics solutions that empower data consumers to quickly and reliably gain insights at scale
• Leading efforts to enhance self‑serve analytics across the organization through advanced administration, adoption strategies, and training for analytics tools (Looker and Amplitude)
• Partnering strategically with analysts, product managers, and product engineers to ensure the analytics infrastructure meets evolving business requirements and is robust and maintainable
• Architecting and developing production‑grade data transformations and models using SQL, DBT, and Dagster, ensuring optimal performance, maintainability, scalability, and reliability
• Collaborating closely with data engineering on strategic infrastructure initiatives to enhance data ingestion, processing pipelines, and integration of new data sources
• Driving the establishment and continuous improvement of standards around data governance, security, privacy, quality, and retention, influencing best practices across the organization

• 6+ years of experience as an analytics engineer, data engineer, or similar role
• 3+ years of experience using DBT & DBT Core, with a strong understanding of data modeling and data warehousing concepts
• Expertise in writing performant SQL, especially within cloud‑based data warehouses like Snowflake, and have strong Looker developer skills, with an emphasis on LookML modeling and overall project design
• Experience managing the administration and/or adoption of data…