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 currently seeking a highly motivated Senior Data Analyst. This role will report to the Director of Data Operations and enable us to continue to scale in the healthcare industry.

You are:

• Comfortable with ambiguity and biased towards action
• Relentlessly resourceful
• Growth-oriented
• Mission-driven

What You'll Do:

• Advanced SQL and Python Skills: Employ strong SQL and mid-level Python (especially PySpark) skills for sophisticated data analysis.
• Data Lake Expertise: Utilize data lake technologies such as Databricks and Snowflake for effective data management and analysis.
• Healthcare Sector Knowledge: Apply a general understanding of healthcare-related concepts like IPA operating, HCC, HEDIS, and claims processing.
• Project Leadership: Independently lead projects, encompassing user interaction, request comprehension, workflow exploration, and task distribution.
• Collaboration with Operating Teams: Engage with multiple operating teams to understand their daily work and develop relevant tools.
• BI Tools Proficiency: Skillfully use BI tools such as Power BI or Tableau for data visualization and reporting.
• End-to-End Project Ownership: Fully manage individual projects from start to finish, including larger projects impacting multiple business units or the entire analytics team.
• Complex Analytical Projects: Handle complex analytical projects involving multiple data sources and cross-functional teams.
• Cross-Team Work: Work extensively across multiple teams, projects, and departments.
• Data Navigation Expertise: Serve as a subject matter expert in navigating internal data sources and understanding best practices for data extraction.
• Mentorship: Provide guidance and mentorship to junior data analysts.
• Critical Reporting Tasks: Tackle the most complex or critical reporting tasks within the company.

Minimum qualifications:

• Bachelor's degree in data analytics, statistics, computer science, or similar; Master’s degree in relevant discipline a plus
• 3+ years’ experience, with at least some portion being in healthcare analytics
• Experience in statistical analysis; machine learning techniques a plus (decision trees, regression, clustering etc.)
• Experience with report design and project management
• Advanced Microsoft Excel skills
• Ability to independently pursue and develop solutions to complex problems
• Strong communication skills
• Scrappy, eager, positive team player with no ego
• Strong comfort with working in a fast-paced environment

You're a great for this role if:

• Extensive experience in conducting analytics with claims and EMR/EHR data
• Extensive proficiency in Python, SQL, R, or SAS while analyzing large datasets
• An authentic passion for improving the lives of underserved patients and advancing value-based care