Thyme Care is looking to transform the cancer care experience by building a diverse team of problem solvers and critical thinkers to drive innovation and shape the future of healthcare.
Requirements
Expertise in working with large healthcare or operational datasets
Experience designing data models to support analytics and building the data transformations in SQL
Experience with dbt or willingness to quickly learn
Experience with Looker or other BI tools or willingness to quickly learn
Experience with electronic Patient-Reported Outcomes (ePROs) data is a plus
Proficiency in data modeling, transformation, and claims analytics
Familiarity with Python
Responsibilities
Gain a deep understanding of our data platform and contribute to improving our data models and pipelines
Collaborate with other data scientists, data engineers, and analysts to build scalable and sustainable data models and pipelines
Develop data models and pipelines with dbt
Build Looker dashboards and self-service tools to help stakeholders track key performance indicators
Take ownership and lead the development of data models to measure the effectiveness of our interventions
Ensure that internal customers have fast, accurate, and reliable access to data, supporting their decision-making with high-quality analytics and reporting
Work side-by-side with Clinical and Operations counterparts to measure the impact of our interventions
