Lead Data Analyst, Healthcare Analytics

Molina Healthcare is a company focused on providing healthcare solutions, and they are seeking a Lead Data Analyst to design and implement advanced data analytics solutions. This role involves collaborating with various teams to translate complex data into actionable insights and requires strong technical and analytical skills.

Responsibilities:

• Design, develop, and maintain scalable data analytics solutions using Azure Databricks and related enterprise platforms
• Lead data compilation, transformation, integration, and validation from multiple structured and unstructured data sources
• Apply advanced statistical, quantitative, and analytical techniques to identify trends, patterns, and opportunities
• Develop dashboards, reports, and analytical models using Power BI and Databricks AI/BI dashboards
• Define and implement data standards, best practices, and governance processes to ensure data quality and consistency
• Collaborate with cross-functional stakeholders to gather requirements and translate business needs into technical solutions
• Establish processes for monitoring, tracking, and trending data across systems and applications
• Provide peer review and technical guidance on analytics, programming logic, and data modeling
• Support leadership and team members with ad-hoc analysis and strategic insights
• Communicate findings clearly to technical and non-technical audiences

Requirements:

• Design, develop, and maintain scalable data analytics solutions using Azure Databricks and related enterprise platforms
• Lead data compilation, transformation, integration, and validation from multiple structured and unstructured data sources
• Apply advanced statistical, quantitative, and analytical techniques to identify trends, patterns, and opportunities
• Develop dashboards, reports, and analytical models using Power BI and Databricks AI/BI dashboards
• Define and implement data standards, best practices, and governance processes to ensure data quality and consistency
• Collaborate with cross-functional stakeholders to gather requirements and translate business needs into technical solutions
• Establish processes for monitoring, tracking, and trending data across systems and applications
• Provide peer review and technical guidance on analytics, programming logic, and data modeling
• Support leadership and team members with ad-hoc analysis and strategic insights
• Communicate findings clearly to technical and non-technical audiences
• Experience with Azure Databricks, Power BI, GitHub, DevOps, and CI/CD pipelines
• Proficiency in PySpark, Python, SQL, and Scala for data engineering, automation, and analytics
• Expertise in data modeling, data mapping, and large-scale data processing
• Experience developing enterprise-grade dashboards and reporting solutions
• Knowledge of cloud-based data architectures and modern analytics platforms
• This role is hands-on and requires close collaboration with business and technology teams
• The Lead Data Analyst is expected to balance strategic thinking with detailed execution, contribute to architectural decisions, and ensure analytics solutions align with enterprise standards and long-term business objectives
• Strong understanding of healthcare data domains, data mapping, and regulatory considerations
• Ability to translate business problems into data-driven solutions
• Experience working with stakeholders across multiple organizational levels
• Bachelor's degree preferred
• 7–9 years of progressive experience in data analytics, data engineering, or related roles
• Demonstrated experience delivering analytics solutions from concept through production
• Experience working in large enterprise data environments
• Familiarity with healthcare analytics and reporting standards
• Strong problem-solving skills and attention to detail
• Excellent written and verbal communication skills