Data Analytics Lead, Investigations & Compliance

Arizona Department of Administration; Phoenix (AZ); On-site; USD 34,000 - 61,000; Full time

Benefits offered by this job

Health and dental insurance

Retirement plan

Sick leave

Job summary

Arizona Board of Nursing is seeking a Data Management & Analytics professional to design robust data systems and automated reports to monitor HB 2408 compliance. The role focuses on safeguarding sensitive information, governance, and transforming data into actionable leadership insights.

The analyst will forecast caseload trends, identify bottlenecks, and deliver data-driven recommendations for resource management. Strong collaboration with IT, program staff, and executives is essential.

Qualifications

• Bachelor's degree in a quantitative field and experience with data analytics.
• Experience in building dashboards and reporting for executive audiences.
• Knowledge of data governance, privacy, and security practices.

Responsibilities

• Design, build, and maintain tracking databases and tools (Power BI, SQL) for HB 2408 process.
• Develop automated dashboards and weekly/monthly reports on compliance metrics.
• Ensure data governance, security, and quality through audits and protocols.
• Apply predictive modeling to historical caseloads to forecast trends and resource needs.
• Prepare executive briefings and communicate trends to leadership for decisions.

Skills

Power BI

SQL

Data storytelling

Analytical thinking

Project management

Communication with leadership

Education

Bachelor's Degree in Data Science/Related Field

Master's Degree in Public Administration / MSBA / MBA (Preferred)

Tools

Power BI

SQL

Tableau

CRM systems

Job description

Arizona Board of Nursing is seeking a Data Management & Analytics professional to design robust data systems and automated reports to monitor HB 2408 compliance. The role focuses on safeguarding sensitive information, governance, and transforming data into actionable leadership insights.

The analyst will forecast caseload trends, identify bottlenecks, and deliver data-driven recommendations for resource management. Strong collaboration with IT, program staff, and executives is essential.