Senior Education Data Analytics Lead

Placements24; Randburg; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Medical insurance

provident fund

Professional development

Career advancement opportunities

On-site facilities in Randburg

Job summary

Placements24 in Randburg, Gauteng is seeking a Senior Data Analyst to transform complex educational data into actionable insights that inform strategic planning and student success.

The role involves collecting, cleaning, and analyzing datasets on student performance, enrollment, and operations, building dashboards, and presenting findings to senior leadership. A strong statistical background and proficiency with R, Python, SQL, and BI tools are required.

Qualifications

• Master's degree in a quantitative field as stated.
• 5+ years experience as a Data Analyst, preferably in education.
• Strong statistical analysis, data visualization, and SQL skills.

Responsibilities

• Collect, clean, and manage large educational datasets.
• Perform statistical analysis to identify trends in student performance.
• Develop dashboards and reports to visualize KPIs.
• Interpret findings and provide actionable insights.
• Collaborate with faculty, admin, and IT to gather data needs.
• Design data models to support advanced analytics.
• Ensure data accuracy and compliance with privacy regulations.
• Conduct predictive modeling for enrollment trends and resource needs.
• Present findings to senior leadership through reports.
• Stay updated on best practices in education data analytics.

Skills

Statistical analysis

Data interpretation

Problem solving

Communication

Education

Master's degree in Statistics / Data Science / Mathematics / Economics

Tools

R

Python

SPSS

SQL

Tableau

Power BI

Job description

Placements24 in Randburg, Gauteng is seeking a Senior Data Analyst to transform complex educational data into actionable insights that inform strategic planning and student success.

The role involves collecting, cleaning, and analyzing datasets on student performance, enrollment, and operations, building dashboards, and presenting findings to senior leadership. A strong statistical background and proficiency with R, Python, SQL, and BI tools are required.