In addition to evaluating each candidate's relative ability, as demonstrated by quality and breadth of experience, the following factors will provide the basis for competitively evaluating each candidate:
Knowledge of:
-Principles and practices of financial data reporting, statistical analysis, and program evaluation
-State and federal regulations related to data security and confidentiality
-Supervisory principles and personnel management practicesD
-Data visualization and reporting tools, including Power BI
-Database management and query languages, including SQL
-Microsoft Office Suite: Excel (advanced functions), Word, PowerPoint, and Outlook
-Best practices for stakeholder engagement and collaborative research
Ability to:
-Plan, organize, and direct complex research and data analysis projects
-Analyze large and complex datasets to identify trends, anomalies, and actionable insights
-Develop and implement research strategies aligned with organizational goals
-Prepare clear, concise, and visually compelling reports and presentations
-Communicate effectively, both orally and in writing, with internal and external stakeholders
-Supervise, mentor, and evaluate staff performance, fostering a collaborative work environment
-Apply critical thinking and problem-solving skills to address complex issues
-Utilize SQL for data extraction and transformation, and Power BI for interactive dashboards
Analytical Requirements:
-Apply advanced statistical techniques and modeling to support decision-making
-Evaluate program effectiveness and recommend improvements based on data-driven insights
-Ensure accuracy, integrity, and timeliness of data used for policy development and resource allocation