Real Estate Data Analyst — Hybrid Work & Insights

Placements24; Randburg; Hybrid; ZAR 420,000 - 610,000; Full time

Benefits offered by this job

Hybrid work model

Performance-based incentives

Professional growth opportunities

Job summary

Placements24 in Randburg is seeking a Real Estate Data Analyst to extract, analyze, and interpret large real estate datasets, delivering actionable insights for strategic decisions. The role blends data science with market analysis and supports investment appraisal.

You will build models to forecast property values, track KPIs, and communicate findings through reports and dashboards using Python, R, SQL, Tableau or Power BI.

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Statistics, Economics, Finance)
• Proven experience as a Data Analyst with real estate domain preferred
• Proficiency in Python, R, SQL and Excel for data manipulation and analysis
• Experience with data visualization tools such as Tableau or Power BI
• Strong statistical modeling, machine learning concepts, and data management understanding
• Excellent analytical and communication skills for Randburg-based role

Responsibilities

• Collect, clean, and manage large volumes of real estate data from various sources.
• Perform statistical analysis and develop predictive models to forecast market trends and property values.
• Create insightful reports and visualizations to communicate findings to stakeholders.
• Identify KPIs and monitor market performance against benchmarks.
• Collaborate with investment, sales, and marketing teams to provide data-driven recommendations.
• Stay current with data analysis tools, techniques, and latest developments in real estate analytics.

Skills

Python

R

SQL

Excel

Tableau

Power BI

Statistical modeling

Machine learning

Education

Bachelor's degree in Data Science/Statistics/Economics/Finance

Tools

Python

Pandas

NumPy

Job description

Placements24 in Randburg is seeking a Real Estate Data Analyst to extract, analyze, and interpret large real estate datasets, delivering actionable insights for strategic decisions. The role blends data science with market analysis and supports investment appraisal.

You will build models to forecast property values, track KPIs, and communicate findings through reports and dashboards using Python, R, SQL, Tableau or Power BI.