Analytics Engineer

• Design, build, and manage scalable analytics pipelines from raw data to analytics-ready assets
• Develop and maintain complex Directed Acyclic Graphs (DAGs) for workflow execution and dependency management
• Perform advanced extract, load, and transform processes for data cleansing, preparation, and transformation
• Architect and manage semantic models using Strategy (BI) and Mosaic technology
• Design and scale metrics stores, semantic layers, and analytical cubes for enterprise self-service analytics
• Leverage cloud-based enterprise data platforms for large-scale datasets and modern data engineering workflows
• Manage Strategy (BI) databases and optimize their integration with analytics pipelines
• Use AI-augmented tools for code development, documentation, and technical problem-solving
• Validate AI-generated code and outputs for accuracy and reliability
• Partner with Data Analytics and Data Science teams to define and deliver data requirements and datasets
• Collaborate with Data Governance to develop secure, compliant, high-quality enterprise data assets
• Translate business needs from Quality Management and Medical Economics into analytical solutions and data products
• Apply version control, CI/CD, and automated orchestration to the analytics lifecycle
• Bridge data management and business needs within domain teams to support federated analytics architectures

Explore Analytics Engineer at Alliance Health. Review requirements and application details.