Astrana Health is a leading provider-centric, technology-powered healthcare company enabling providers to deliver accessible, high-quality, and high-value care to all. Leveraging its proprietary end-to-end technology solutions, Astrana operates an integrated healthcare delivery platform that enables providers to successfully participate in value-based care arrangements, thus empowering them to deliver high quality care to patients in a cost-effective manner.

We are seeking a highly skilled and motivated Senior Data Analyst to join our data analytics team. The ideal candidate will have 2-4 years of experience in data analysis, strong proficiency in SQL and Python, and a solid understanding of healthcare concepts such as HEDIS, HCC, and medical claims data. As a Senior Data Analyst, you will play a critical role in analyzing complex datasets, generating insights, and supporting strategic decision-making processes to help our quality and UM departments.

What You’ll Do:

• Perform in-depth analysis of large and complex healthcare datasets, including medical claims data.
• Generate actionable insights to support business objectives and improve patient outcomes.
• Develop and maintain dashboards and reports to communicate findings to stakeholders.
• Utilize advanced SQL skills to query, manipulate, and analyze data from various databases.
• Apply Python for data analysis, statistical modeling, and automation of repetitive tasks.
• Apply knowledge of healthcare concepts such as HEDIS (Healthcare Effectiveness Data and Information Set) and HCC (Hierarchical Condition Categories) in data analysis and reporting.
• Ensure data quality and integrity by validating and cleaning healthcare data.
• Work closely with cross-functional teams, including product development, engineering, and clinical teams, to understand data needs and provide analytical support.
• Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner.
• Stay updated with industry trends, best practices, and emerging technologies in data analytics and healthcare.
• Contribute to the development and enhancement of data analytics methodologies and tools.

Qualifications:

• Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, or a related field. Master's degree preferred.
• 2-4 years of experience in data analysis, preferably within the healthcare industry.
• Strong proficiency in SQL for data querying and manipulation.
• Experience with Python for data analysis and automation.
• Solid understanding of healthcare concepts such as HEDIS, HCC, and experience working with medical claims data.
• Proficient in data visualization tools (e.g., Power BI, Tableau) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills with the ability to convey complex information to non-technical audiences.
• Detail-oriented with a commitment to data quality and accuracy.