Data Analyst (Education Sector)

Placements24; Randburg; Hybrid; ZAR 420,000 - 640,000; Full time

Job summary

Placements24 is seeking a meticulous Data Analyst to derive insights from education data in Randburg, Gauteng. This hybrid role involves collecting, processing, and analyzing large datasets to improve student outcomes and operations.

You will build dashboards, run statistical analyses, and present findings to stakeholders. The ideal candidate has 3+ years of experience, strong SQL/Python/R skills, and solid data visualization and modeling capabilities.

Qualifications

• Bachelor's degree in statistics, mathematics, computer science or economics.
• Minimum 3 years' experience as a Data Analyst focusing on interpretation and reporting.
• Proficiency in SQL, Python or R.
• Experience with Tableau, Power BI or similar data visualization tools.
• Strong statistical modeling and machine learning knowledge.
• Excellent analytical, problem-solving and communication skills.
• Ability to present findings clearly to non-technical stakeholders.

Responsibilities

• Collect, clean and organize large educational datasets.
• Conduct statistical analyses to identify trends and correlations.
• Develop and maintain dashboards and reports for KPIs.
• Provide actionable recommendations to improve student success and program effectiveness.
• Collaborate with educators and administrators to understand data needs.
• Develop data collection systems to improve data quality.
• Create predictive models to forecast educational trends.
• Ensure data privacy and security protocols.
• Present findings to diverse audiences.

Skills

Analytical thinking

Problem solving

Presentation skills

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics

Tools

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client is seeking a meticulous and analytical Data Analyst to join their team, focusing on insights within the education sector in Randburg, Gauteng . This hybrid role involves collecting, processing, and analyzing large datasets related to student performance, educational programs, and operational efficiency. You will play a critical role in translating complex data into actionable insights that inform strategic decision-making, improve educational outcomes, and optimize resource allocation. The ideal candidate will possess strong quantitative skills, proficiency in data visualization tools, and a solid understanding of statistical methods. We are looking for an individual who can identify trends, generate reports, and present findings clearly to stakeholders across the organization in Randburg .

Key Responsibilities

• Collect, clean, and organize large datasets from various educational sources.
• Perform statistical analysis to identify trends, patterns, and correlations in educational data.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and insights.
• Interpret data to provide actionable recommendations for improving student success, program effectiveness, and operational efficiency.
• Collaborate with stakeholders, including educators and administrators, to understand their data needs and provide relevant insights.
• Develop and implement data collection systems and strategies that improve data quality and accuracy.
• Create predictive models to forecast educational trends and outcomes.
• Ensure data privacy and security protocols are maintained.
• Stay updated with the latest data analysis techniques, tools, and technologies relevant to the education sector.
• Present findings and recommendations to diverse audiences in a clear and concise manner.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, with a focus on data interpretation and reporting.
• Proven experience with data analysis tools and programming languages such as SQL, Python, R, or similar.
• Proficiency in data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of statistical modeling and machine learning techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Experience working with educational data is highly desirable.
• Ability to work effectively both independently and as part of a hybrid team.
• Must reside within commuting distance of Randburg, Gauteng .

Benefits

This role offers a competitive annual salary ranging from ZAR , depending on experience. The hybrid work model provides a balance between in-office collaboration and remote flexibility. Our client offers opportunities for professional growth and development within the burgeoning education technology sector. You will be part of a team that uses data to drive meaningful improvements in education within Gauteng . Access to cutting-edge analytical tools and a collaborative work environment are provided.