Manager, Healthcare Data Analytics

Vālenz Health is a company focused on simplifying healthcare through innovative solutions. They are seeking a Manager of Healthcare Data Analytics to lead a team in transforming complex healthcare data into reliable data assets, partnering with various departments to deliver high-quality analytics for business decisions.

Responsibilities:

• Lead, coach, and develop a team of Analysts by providing technical direction, reviewing deliverables, and guiding problem-solving approaches
• Define and execute the provider analytics roadmap in alignment with product and enterprise data strategy
• Set clear performance expectations, support professional development, and manage ongoing performance
• Serve as a subject matter expert in provider data, leading complex analyses to establish accurate provider identity, network status, affiliations, and hierarchy across multiple data sources
• Design and support scalable, production-grade analytics workflows using SQL, Python, and Databricks
• Ensure the accuracy, quality, and integrity of analytical outputs through strong validation and review practices
• Partner cross-functionally with Data Engineering, Product, Application Development, and Client Success to deliver solutions, resolve complex issues, and support strategic initiatives
• Translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences
• Identify and implement process improvements to enhance efficiency, scalability, and data reliability
• Evaluate and introduce emerging technologies and best practices to strengthen provider data capabilities
• Manage and track work through project management tools such as Azure DevOps and Salesforce

Requirements:

• 5+ years of healthcare data analytics experience (provider, claims, network)
• 2+ years in a leadership role
• Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Finance, or Economics) or equivalent experience
• Advanced SQL skills and working knowledge of Python, with experience supporting or reviewing production-level code
• Experience building and maintaining datasets used for analytics and business operations and ability to translate business needs into structured data solutions
• Strong attention to detail with a focus on data accuracy, validation, and quality
• Excellent communication skills, with the ability to work across technical and non-technical teams
• Highly organized, with the ability to manage multiple priorities in a fast-paced environment
• Master's degree
• Experience with Spark or other distributed processing frameworks
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Working knowledge of version control (Git) and CI/CD practices