Bachelor’s or advanced degree in a healthcare-related field or a quantitative discipline (e.g., Data Science, Data Analytics)
1+ years of healthcare data experience, including a strong background in healthcare or clinical analytics
High proficiency in SQL, with the ability to independently mine and process large-scale, complex healthcare datasets
Proficiency in a data visualization tool (e.g., Tableau, Power BI) and the ability to translate complex analytical outputs into clear stories for both technical and non-technical audiences
Deep understanding of claims billing processes and code sets (e.g., ICD-10, CPT, HCPCS), including knowledge of how these elements are applied in analytics
Working knowledge of additional coding languages (e.g., Python, R) is a strong plus
Self-starter with a healthy skepticism regarding data validity and the ability to thrive in a fast-paced, collaborative, and agile environment