Senior 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Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories.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 17 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.

 

Your Impact on our Mission

Zocdoc is seeking a Senior Analytics Engineer who will be part of a centralized team focused on creating and maintaining a robust analytics layer. We power Zocdoc’s analytics, operations, and reporting tools that enable the business to answer questions quickly, consistently, and reliably. You will take ownership of transforming raw data into production-quality models and creating sanctioned datasets that drive all critical analysis across the organization. You will also work closely with our Product Management, Product Engineering, Data Engineering, and Analytics teams to ensure data is created efficiently, repeatedly, and reliably for all teams involved. 

 

You’ll enjoy this role if you are…

• Someone who is excited about building data products to push the whole company forward
• Passionate about solving problems using data and analytics
• Passionate about building the best version of whatever you’re working on
• Someone who loves working in a highly collaborative and supportive environment
• Passionate about building fully scalable data solutions with the latest technologies

 Your day to day is…

• Enabling data consumers to answer critical questions and gain insights using trusted, sanctioned data sets designed to be high-performance, reusable, and scalable
• Supporting teams across the company to enable self-serve analytics through our Analytics tools (Looker and Amplitude) and owning the administration, adoption, and end-user training support of those tools
• Collaborating with analysts, product managers, and product engineering to ensure our data for analytics can support all our data requirements and is easy to maintain
• Writing production-quality data transformations in SQL using DBT and Dagster with an eye towards performance, maintainability, scalability, and reliability
• Collaborating with data engineers on infrastructure projects to improve ingestion pipelines and sourcing new data
• Driving standards for data governance, security, privacy, quality, and retention

You’ll be successful in this role if you have…     

• 4+ years experience as an analytics engineer, data engineer, or similar role
• 2+ years of experience using DBT, 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 visualization tools (e.g. Looker) and event-based analytics/user journey tools (e.g. Amplitude)
• Proficiency in navigating ambiguity and working with urgency in a fast-moving environment with multiple stakeholders
• Good communication skills across all levels of stakeholders (business & technical) with the ability to influence and build consensus
• Experience with Dagster or other orchestration tools, and Python coding skills (particularly in the areas of automation & integrations) as a plus
• Experience utilizing AI Codegen to improve the efficiency of your workflow as a plus
• Experience with data governance principles, KPI management, and supporting data operations for business intelligence as a plus

 

 

Benefits:

• Flexible, hybrid work environment
• Unlimited PTO