Business Intelligence Analyst

• Deliver enterprise business intelligence and analytics solutions that enable business partners to meet organizational objectives
• Consult with stakeholders and business leaders to manage a product roadmap for analysts, developers, administrators, and architects
• Develop, configure, maintain, and support data and analytics solutions, especially Microsoft and Epic Cogito applications
• Help stakeholders define useful metrics, analyses, and analytics strategy
• Intake and evaluate new development requests from organizational leaders
• Manage a data, BI, and analytics asset catalogue
• Lead design sessions for metrics, dashboards, data sets, and analytical models
• Liaise between business users and developers to ensure solutions meet business needs
• Identify and resolve data quality issues with end users, application teams, and leadership
• Design, configure, and maintain self-service data sets in Epic Cogito SlicerDicer and Microsoft Power BI
• Complete system configuration and access management for Epic Radar, Cogito SQL, user security, SlicerDicer, and reporting applications
• Complete testing and lead end users through validation
• Lead end-user adoption, training sessions, and communities of practice
• Manage analytics-tool upgrade tasks
• Mentor Business Intelligence Analyst I team members
• Lead process improvement initiatives
• Translate complex business issues into structured analytics use cases
• Build analytics solutions and comprehensive documentation with the business intelligence development team
• Design analytical dashboards and perform gap analyses
• Build organizational capabilities in data management, reporting, ad hoc analytics, and advanced analytics

Events

• Participate in Grady Health System’s virtual imaging careers hiring event
• Pursue imaging opportunities as an X-Ray, CT, or Nuclear Medicine Technologist
• Provide safe, compassionate, and high-quality patient care
• Connect with the Radiology team and explore current opportunities
• Participate in a virtual interview if background aligns with current opportunities
• Maintain professional credentials, continuing education credits, and annual license renewal
• Eligible X-Ray Technologists may participate in the CT Pathways Program after six months of employment to gain CT experience and advance their careers

Imaging Careers Virtual Hiring Event

Data Engineer

• Provide principal-level data architecture leadership for the research domain
• Design and govern scalable, secure, and research-ready data structures for analytics, artificial intelligence, and regulatory-compliant data use
• Design the enterprise research data platform, including lakehouse architecture
• Define architecture standards for data ingestion, transformation, curation, and publication
• Translate Epic Clarity and Caboodle source structures into research-ready architectural patterns and reusable platform components
• Establish cloud-native architecture supporting security, resilience, performance, and regulatory requirements
• Align platform roadmaps and design decisions with enterprise data strategy, research priorities, and stakeholder requirements
• Develop dimensional and normalized data models for research reporting, analysis, and reuse
• Translate clinical, operational, device, and waveform data into structured datasets and semantic layers
• Define canonical data models and shared business definitions
• Apply interoperability standards, including OMOP
• Maintain model integrity across curated datasets, marts, and downstream analytical assets
• Establish governance frameworks covering lineage, stewardship, access controls, retention, and accountability
• Ensure compliance with HIPAA, institutional review board requirements, and organizational policies
• Define and apply de-identification, privacy, and security strategies for protected health information and sensitive research data
• Direct data quality processes, validation controls, and stewardship practices
• Partner with compliance, legal, privacy, and research administration stakeholders
• Design data pipelines and platform services for machine learning, generative AI, and advanced analytics
• Structure and optimize datasets for model training, validation, inference, and controlled experimentation
• Enable scalable analytical environments for repeatable research workflows and exploratory analysis
• Support research teams in evaluating analytical use cases and selecting data design approaches
• Define architecture standards for responsible AI, reproducibility, transparency, and model governance
• Mentor engineers, architects, and analysts
• Influence enterprise data standards and architectural direction through design reviews and standards development
• Collaborate with information technology, clinical, operational, and research stakeholders
• Review technical designs and recommend scalable, maintainable, and compliant architecture patterns
• Promote modern data architecture methods, tools, and delivery practices across the enterprise research ecosystem
• Report to the Manager, Data Analytics (Research)

Principal Data Architect, Research

Business Intelligence Developer

• Manage the full lifecycle of Business Intelligence (BI) development
• Communicate with internal clients to understand business processes and gather requirements
• Coordinate ongoing iterative development of BI solutions
• Analyze, design, develop, and document BI solutions
• Design, write, validate, and modify reports for end users
• Build and share knowledge with other developers to ensure consistent delivery of information
• Provide leadership through customer service, product quality, team training, and knowledge transfers
• Manage workload across multiple assignments, activities, or projects
• Conduct routine code reviews
• Collaborate with application analysts and report end users on reports for the Epic Implementation project
• Develop and maintain understanding of Business Intelligence industry trends
• Analyze, diagnose, and resolve reporting and data issues

Infrastructure Engineer

• Administer a HIPAA-compliant AWS landing zone as the primary owner of data, analytics, and AI/ML workloads
• Administer Tableau Server deployment in the AWS landing zone, including patching, upgrades, and performance monitoring
• Provide expert cloud infrastructure knowledge to support secure and efficient cloud adoption
• Lead AI/ML and analytics infrastructure initiatives
• Support the design and development of new cloud solutions from requirements analysis through implementation
• Ensure cloud solutions are ready for ongoing support
• Manage cloud migration projects and develop and execute migration strategies
• Design infrastructure solutions using Infrastructure as Code and CI/CD automation
• Research and prototype technologies to enhance cloud capabilities
• Automate processes and reduce operational toil
• Mentor others to optimize cloud outcomes
• Improve cloud infrastructure reliability, scalability, and efficiency
• Collaborate with engineers to meet data protection and disaster recovery requirements
• Lead and participate in knowledge-sharing activities and communities of practice
• Collaborate with security teams, third-party suppliers, and organizational peers
• Design and optimize solutions across single-cloud, multi-cloud, and hybrid environments
• Ensure security and compliance standards are met

GMH

Business Intelligence Analyst

Imaging Careers Virtual Hiring Event

Principal Data Architect, Research

Business Intelligence Developer

Cloud Analytics Infrastructure Engineer