Data Analyst

• Create, maintain, validate, and govern enterprise master, transactional, and reference data across Oracle ERP, AS400, and related business systems
• Monitor data quality, accuracy, completeness, consistency, and compliance with governance standards, business rules, and controls
• Research, analyze, and resolve data discrepancies, duplicate records, system exceptions, and cross-system inconsistencies
• Implement corrective actions and process improvements
• Maintain item, material, supplier, pricing, purchasing, and classification data according to enterprise standards and naming conventions
• Coordinate and implement approved data changes, including validation, testing, data conversion, and documentation for system enhancements and ERP initiatives
• Develop and maintain data governance documentation, standard operating procedures, data definitions, and process standards
• Support business users and provide training on data standards and controls
• Partner with cross-functional teams to improve data quality, standardize processes, support reporting needs, and advance enterprise data governance initiatives

• Conduct analysis and produce accurate datasets based on customer or management requirements
• Develop and maintain Python scripts and SQL queries to extract, transform, analyze, and deliver data
• Build, maintain, and troubleshoot ETL workflows combining data from multiple sources
• Apply business rules and prepare datasets for analysis or client delivery
• Acquire data from primary and secondary sources and maintain databases and data processing systems
• Interpret data, analyze results using statistical techniques, and identify trends or patterns
• Clean, validate, and reconcile data to identify errors and ensure accuracy and completeness
• Use company-approved AI tools for coding, troubleshooting, documentation, and process improvement while validating outputs and following data security and confidentiality requirements
• Document workflows, business rules, and quality control procedures
• Work with management and internal teams to understand requirements, prioritize business needs, and deliver accurate results within established timelines
• Identify opportunities to automate manual processes, improve data quality, and increase processing efficiency

• Report to the Director of Data Analytics & Technology Transformation
• Develop and maintain AI-driven applications and tools using Python and other relevant programming languages
• Design, implement, and manage APIs for system and platform integration
• Design and implement graph and relational database solutions, including Neo4j, MySQL, and PostgreSQL
• Train, fine-tune, and deploy AI/ML models, including LLMs and generative AI solutions
• Develop RAG pipelines and prompt-engineering strategies
• Design, deploy, test, and maintain medium- to large-scope projects
• Manage AI/ML product licenses and cloud infrastructure
• Collaborate with analysts, academic, finance, research, leadership, faculty, vendors, campus partners, and OIT
• Gather requirements and develop cost-effective AI solutions for academic, operational, and research needs
• Communicate project status and technical recommendations to technical and non-technical stakeholders
• Provide regular project updates to the Director
• Conduct code reviews and troubleshoot deployed applications and AI models
• Evaluate emerging AI tools, frameworks, and platforms
• Create technical documentation, API specifications, database schemas, and user documentation
• Develop and deliver stakeholder training on AI tools and best practices
• Provide post-implementation support for deployed AI applications and solutions

Data Analyst jobs in Tennessee

Data Analyst

Data Analyst

AI Developer, Data Analytics & Technology