Real Estate Data Analyst

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

About the Role

Our client is seeking a skilled and analytical Real Estate Data Analyst to join their innovative team in Randburg . This role is pivotal in extracting, analyzing, and interpreting complex real estate data to provide actionable insights that drive strategic business decisions. You will work with large datasets, utilizing advanced analytical tools and techniques to identify market trends, forecast property values, and assess investment performance. This hybrid position offers a dynamic environment for a data enthusiast who is passionate about the real estate sector and wants to leverage data to uncover opportunities and solve challenges within the Gauteng market.

Key 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 key performance indicators (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 the latest developments in real estate analytics.

Requirements

• Bachelor's degree in Data Science, Statistics, Economics, Finance, or a related quantitative field.
• Proven experience as a Data Analyst , with a focus on the real estate industry preferred.
• Proficiency in data analysis tools such as Python (Pandas, NumPy), R, SQL, and Excel.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical modeling, machine learning concepts, and database management.
• Excellent analytical, problem-solving, and communication skills for the Randburg -based role.

Benefits

• Competitive salary and performance-based incentives.
• Hybrid work model offering flexibility and work-life balance.
• Access to advanced analytics tools and technologies.
• Opportunities for professional growth and continuous learning in data science and real estate.
• Collaborative work environment with a team dedicated to innovation.