Business Intelligence Analytics Partner Senior

SSM Health is a healthcare organization focused on transforming healthcare through smarter data. The role involves building analytics solutions that enhance medical group performance and support population health initiatives, while collaborating with operational leaders to drive business impact.

Responsibilities:

• Collaborates with stakeholders to understand business needs and develop/support analytics solutions. Serves as a subject matter expert for assigned areas of focus
• Develops and maintains dashboards, reports, and data visualizations using Power BI and other reporting tools
• Develops and maintains code across multiple data platforms (SQL server, Data Bricks, etc.) to extract meaningful and accurate information from complex and massive data sets
• Obtains and maintains Epic certification in Clarity/Cogito/Caboodle as required for area of focus, and at direction of leader
• Manages work in sprints, defining clear objectives with success criteria in each two-week period, or, dependent upon work, manages via Kanban
• Ensures data accuracy and integrity by performing data validation and quality checks. Performs user acceptance testing
• Build and maintain scalable data pipelines and architecture for enterprise analytics
• Supports continuous improvement in analytics methodologies and processes
• Participates in relevant meetings for projects, knowledge sharing and may provide technical documentation and/or instruction to operation leaders
• Performs other duties as assigned

Requirements:

• Bachelor's degree in a related field, or combination of combined education and experience
• Three years of data engineering experience
• Three + years of hands-on experience with SQL, SSIS, Python, and GitHub
• Obtains and maintains Epic certification in Clarity/Cogito/Caboodle as required for area of focus, and at direction of leader
• Ensures data accuracy and integrity by performing data validation and quality checks
• Performs user acceptance testing
• Build and maintain scalable data pipelines and architecture for enterprise analytics
• Supports continuous improvement in analytics methodologies and processes
• Participates in relevant meetings for projects, knowledge sharing and may provide technical documentation and/or instruction to operation leaders
• EPIC Cognito
• EPIC Caboodle
• EPIC Clarity
• Data engineering/analytics in a complex data environment
• Working experience with Databricks
• Working experience with Azure Data Factory
• Working knowledge of the pharmacy or value-based care domain within a healthcare environment