Ro is a direct-to-patient healthcare company with a mission of helping patients achieve their health goals by delivering the easiest, most effective care possible. Ro is the only company to offer nationwide telehealth, labs, and pharmacy services. This is enabled by Ro's vertically integrated platform that helps patients achieve their goals through a convenient, end-to-end healthcare experience spanning from diagnosis, to delivery of medication, to ongoing care. Since 2017, Ro has helped millions of patients in nearly every single county in the United States, including 98% of primary care deserts.
The healthcare system today is not designed to help patients achieve their goals. It’s designed around institutions such as hospitals and insurance companies. A patient centric healthcare system is one that is designed around the goals a patient wants to achieve. We’re building healthcare that puts patients in control, provides reactive and proactive care, has transparent pricing and process, is extremely effective and ridiculously convenient, and evolves over time based on patients’ goals.
Ro has been recognized as a Fortune Best Workplace in New York and Health Care for four consecutive years (2021-2024). In 2023, Ro was also named Best Workplace for Parents for the third year in a row. In 2022, Ro was listed as a CNBC Disruptor 50.
We are looking for an Analytics Engineer who will supercharge data analysts, data scientists, and data-savvy stakeholders to more efficiently and effectively interact with our data stack. You will play a pivotal role in implementing our data infrastructure processes and best practices across a wide range of areas including, foundational data models across multiple domains (growth, product, first party data, finance, operations, etc.), self-service data tooling (e.g. feature stores, querying and data prep tools), data governance and testing processes, documentation, and more. You take pride in developing tools, processes, and working frameworks that unlock your colleagues to better leverage data to generate insights, build models, operationalize data, and more. You thrive in a startup setting, where every day is different and the problems that you’re tackling often don’t have established solutions. You have a bias for action and are able to work in nuanced contexts where it is crucial to develop solutions that balance speed with scalability.
