Dieses Stellenangebot ist nicht mehr verfügbar
Über
Gain a deep understanding of our data platform and lead improvements to our core data models and pipelines, balancing near-term needs with long-term architectural health. Own and lead the development of data models that make it possible to analyze the nuances of our internal operational systems (including interconnected member profiles, tasks, communications, and forms) in ways that scale across teams and use cases. Establish key KPIs and reporting standards that help stakeholders make our operations more efficient. This involves developing data models, pipelines, and analytics dashboards. For example, you may use dbt to build models that analyze operational data to determine whether the speed of an intervention impacts its efficacy. Play a key role in building our data infrastructure and creating a roadmap for scalable and modular data architecture to support our team's growth and long-term analytical needs. Lead the development of utilization and quality metrics and serve as a domain expert for stakeholders across the company. Additionally, you will leverage our data assets for business opportunities and strategic initiatives at Thyme Care. Deep experience working with healthcare data such as electronic health records, claims, or prior auth. Previous direct involvement with member-facing operational teams (such as care navigation or member service teams) is a plus. You have deep expertise in analytics, data modeling, and data transformation, and have used that expertise to influence decisions beyond your immediate scope. Deep expertise in dbt and SQL, with experience designing, rebuilding, and owning complex data models and pipelines that ensure reliability and scalability across the data platform A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus. You have worked with large healthcare datasets, ideally in a healthcare-focused technology startup, health plan, or provider group with mature data structures and pipelines. You know how to identify and prioritize your initiative’s needs and do what it takes to ensure that urgent and important needs are acted on immediately. You have worked with large healthcare datasets, ideally in a health plan or healthcare-focused technology startup with mature data structures and pipelines as an Analytics Engineer or Data Engineer. Experience with medical claims, pharmacy claims, eligibility files, and other relevant healthcare data is essential for building data marts for reporting and analysis. You have deep expertise in analytics, data modeling, and data transformation, with strong proficiency in dbt and SQL to build and maintain data models and pipelines. A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus. Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. This position is also bonus-eligible. We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. Be cautious of
recruitment fraud
, and always confirm that communications are coming from an official Thyme Care email.
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.