Preferred Qualifications: Bachelor’s degree in Information Technology, Computer Science, Data Management, or a related field. In addition to the experience above three or more years of experience in database administration, data analysis, or enterprise data management. Hands-on experience with Microsoft Power BI, including dataset management, data modeling, and report publishing. Experience with SQL, ETL tools, and data integration between multiple systems or platforms. Familiarity with cloud-based data environments, such as Microsoft Azure, Synapse, or similar architectures. Knowledge of data governance frameworks, metadata management, and information security practices.
Knowledge of:
•Principles and best practices of database management, data modeling, and data governance.
•Microsoft Power BI administration, including dataset management, dataflows, and report publishing.
•Extract, Transform, Load (ETL) processes, data warehousing, and system integration methods.
•Data privacy, security, and compliance standards applicable to state and federal requirements (e.g., HIPAA, FERPA, CJIS).
•Cloud data environments and tools such as Azure SQL, Synapse, or similar modern platforms.
•Artificial Intelligence and automation concepts, particularly as they relate to data preparation and analytics readiness.
•Metadata management, data dictionaries, and documentation standards.
•Techniques for troubleshooting data issues and optimizing query and system performance.
•Standard software development lifecycle (SDLC) processes and change management practices.
Skills in:
•Administering and maintaining enterprise data systems and business intelligence platforms.
•Using SQL and other query tools for data analysis, validation, and transformation.
•Designing and maintaining Power BI datasets, data models, and reports.
•Developing and automating ETL workflows and data pipelines.
•Identifying and resolving data quality, performance, or integrity issues.
•Effectively communicating complex data concepts to non-technical stakeholders.
•Collaborating with technical and program teams to meet data and reporting needs.
Abilities to:
•Analyze data and system structures to identify trends, discrepancies, and opportunities for improvement.
•Apply data governance principles to ensure consistent, accurate, and compliant data practices.
•Work independently to manage multiple data systems and competing priorities.
•Develop documentation, procedures, and standards that promote consistent data management practices.
•Support statewide initiatives involving Power BI, data integration, and AI readiness.
•Adapt to emerging technologies and contribute to continuous improvement of enterprise data environments.
•Communicate effectively both orally and in writing with technical and non-technical audiences.
•Collaborate across divisions and agencies to promote data sharing, transparency, and informed decision-making