Data Analyst Supervisor/Expert

Department of Education; Little Rock (AR); On-site; USD 90,000 - 130,000; Full time

Job summary

The Arkansas Department of Education seeks a Data Analyst Supervisor/Expert to lead data analytics initiatives across K-12 education, managing a team of analysts and guiding strategic projects.

You will design data strategies, develop dashboards and reporting tools, and provide consulting on data-driven policy decisions to support state education goals.

Qualifications

• Bachelor's or master's degree in data science, computer science, statistics, or related field.
• At least six years of experience in data science, machine learning, or advanced data analysis.
• Expertise in Python, R, SQL, and visualization tools like Tableau or Power BI.
• Leadership and team management capabilities with ability to motivate and develop staff.
• Proficiency in Microsoft Azure DevOps, .NET, C#, SQL Server, and Power BI.

Responsibilities

• Lead data analytics initiatives across the Arkansas Department of Education.
• Oversee a team of analysts and manage strategic data projects for K-12 education.
• Design data strategies and develop dashboards and reporting tools.
• Consult on data-driven policy decisions to support education goals.

Skills

Data analysis

Python

R

SQL

Tableau

Power BI

Leadership

Education

Bachelor's or master's degree in data science, CS, stats, or related field

Tools

Azure DevOps

.NET

C#

SQL Server

Power BI

Job description

The Data Analyst Supervisor/Expert leads data analytics initiatives across the Arkansas Department of Education, overseeing a team of analysts and managing strategic data projects for K-12 education. The role combines supervisory responsibilities with advanced technical expertise in data analysis, requiring the design of data strategies, development of dashboards and reporting tools, and consultation on data-driven policy decisions.

Key qualifications:

• Bachelor's or master's degree in data science, computer science, statistics, or related field
• At least six years of experience in data science, machine learning, or advanced data analysis
• Expertise in data analysis tools such as Python, R, SQL, and visualization tools like Tableau or Power BI
• Leadership and team management capabilities with ability to motivate and develop staff
• Proficiency in Microsoft Azure DevOps, .NET, C#, SQL Server, and Power BI