Real Estate Data Analyst

Placements24; Sandton; Hybrid; ZAR 420,000 - 700,000; Full time

Benefits offered by this job

Competitive salary and incentives

Flexible hybrid work arrangement

Cutting-edge data analysis tools

Professional development and learning

Influence strategic decisions in SA

Job summary

Placements24 in Sandton is seeking a sharp Real Estate Data Analyst to support strategic decision-making. The role combines remote data analysis with in-office collaboration, focusing on collecting, cleaning, and interpreting property market data across South Africa.

You will develop models, generate reports, and present findings to senior management to guide investment strategies and portfolio optimization in a hybrid environment.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field.
• Proven experience as a Data Analyst, with focus on real estate or finance data.
• Strong proficiency in SQL, Python, R, and Excel for data manipulation and analysis.
• Excellent understanding of statistical methods and data visualization techniques.
• Ability to interpret complex data and communicate findings clearly to non-technical audiences.
• Strong organizational skills in a hybrid work environment.

Responsibilities

• Collect, clean, and organize large datasets related to property markets, sales, and demographics.
• Develop and implement data analysis models to identify key trends and patterns.
• Generate insightful reports and visualizations on market performance, investment potential, and risk factors.
• Collaborate with investment, development, and marketing teams to provide data-driven recommendations.
• Monitor industry data sources and incorporate relevant external data into analyses.
• Present findings to stakeholders, including senior management, in remote and in-office settings.

Skills

Data analysis

Statistical methods

Data visualization

Communication

Education

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

Tools

SQL

Python

R

Excel

Job description

About the Role

Our client is looking for a sharp and analytical Real Estate Data Analyst to support their strategic decision-making in Sandton . This hybrid role allows for remote data analysis work, complemented by in-office collaboration and meetings. You will be responsible for collecting, analyzing, and interpreting complex real estate data to identify market trends, opportunities, and risks. Your insights will be crucial in guiding investment strategies and optimizing portfolio performance for properties across South Africa . This is an excellent opportunity for a data-driven professional to make a tangible impact in a leading real estate firm.

Key Responsibilities

• Collect, clean, and organize large datasets related to property markets, sales, and demographics.
• Develop and implement data analysis models to identify key trends and patterns.
• Generate insightful reports and visualizations on market performance, investment potential, and risk factors.
• Collaborate with the investment, development, and marketing teams to provide data-driven recommendations.
• Monitor industry data sources and incorporate relevant external data into analyses.
• Present findings and recommendations to stakeholders, including senior management, in both remote and in-office settings .

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field.
• Proven experience as a Data Analyst, with a focus on real estate or finance data.
• Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, Excel).
• Excellent understanding of statistical methods and data visualization techniques.
• Ability to interpret complex data and communicate findings clearly to non-technical audiences.
• Strong organizational skills and the ability to manage workload effectively in a hybrid environment .

Benefits

• Competitive salary and performance incentives.
• Flexible hybrid work arrangement.
• Opportunity to work with cutting-edge data analysis tools.
• Professional development and continuous learning support.
• Influence strategic decisions within a prominent South African real estate company.