Real Estate Data Analyst

Placements24; Soweto; Hybrid; ZAR 350,000 - 600,000; Full time

Benefits offered by this job

Health insurance

Hybrid work

Career development

Job summary

Placements24 is seeking a Real Estate Data Analyst to support operations across Soweto and the broader Gauteng region. You will extract insights from large real estate datasets, identify market trends, and help drive strategic decisions with data-driven recommendations.

The role offers exposure to cutting-edge analytics tools, opportunities to build dashboards, and a hybrid work schedule. A data-driven mindset and strong analytical skills are essential.

Qualifications

• Experience as a Data Analyst in real estate industry.
• Proficiency in SQL, Python, R, and BI tools.
• Strong understanding of statistical analysis and data modeling techniques.
• Bachelor's degree in a quantitative field.

Responsibilities

• Collect, clean, and analyze real estate data related to market trends, property values, and sales activity.
• Develop dashboards and reports to visualize key real estate metrics and insights.
• Identify patterns, trends, and anomalies to support strategic decisions.
• Collaborate with marketing, sales, and development teams to provide data-driven recommendations.
• Utilize statistical software and data visualization tools to communicate findings.

Skills

SQL

Python

R

Statistical analysis

Education

Bachelor's degree in Data Science, Statistics, Economics, or related field

Tools

Tableau

Power BI

Job description

About the Role

Our client is looking for a sharp and analytical Real Estate Data Analyst to join their innovative team, supporting operations across Soweto and the wider Gauteng region. This role is critical for extracting insights from complex real estate datasets, identifying market trends, and supporting strategic decision-making. You will work with large volumes of data related to property values, market activity, and consumer behavior to provide actionable intelligence. This is an excellent opportunity for a data-driven individual to make a significant impact in the real estate sector.

Key Responsibilities

• Collect, clean, and analyze large datasets related to real estate market trends, property values, and sales activity.
• Develop and maintain dashboards and reports to visualize key real estate metrics and insights.
• Identify patterns, trends, and anomalies in data to support strategic business decisions.
• Collaborate with marketing, sales, and development teams to provide data-driven recommendations.
• Utilize statistical software and data visualization tools to communicate findings effectively.

Requirements

• Proven experience as a Data Analyst , with specific experience in the real estate industry.
• Proficiency in data analysis tools such as SQL, Python, R, and Tableau or Power BI.
• Strong understanding of statistical analysis and data modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Bachelor's degree in Data Science, Statistics, Economics, or a related quantitative field.

Benefits

• Competitive salary and potential for performance bonuses.
• Opportunity to work with cutting-edge data analytics tools and technologies.
• Exposure to diverse real estate data and market dynamics.
• Flexible hybrid work schedule promoting both collaboration and independent work.
• Comprehensive benefits package, including health insurance and retirement contributions.