Senior Real Estate Data Analyst - Fully Remote

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Fully remote

Competitive salary

Professional development opportunities

Job summary

Placements24 seeks a Senior Real Estate Data Analyst to transform complex real estate data into actionable insights for strategic investments. The role focuses on designing data models, advanced analytics, and predictive modeling to identify market trends and optimize portfolio performance.

Ideal candidates will have 5+ years in data analysis within real estate or financial markets, strong SQL and Python/R skills, and proficiency in Tableau or Power BI to deliver clear visual insights remotely.

Qualifications

• Master's degree or PhD in a quantitative field such as Data Science, Statistics, Economics, Computer Science, Real Estate.
• Minimum 5 years of data analysis experience with a focus on real estate or financial markets.
• Proven track record in building and deploying predictive models and statistical analysis.
• Proficiency in SQL and programming languages like Python or R.
• Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).

Responsibilities

• Collect, clean, and transform large real estate datasets.
• Develop and maintain data models and databases for property performance, market trends, and investment metrics.
• Perform advanced statistical analyses including regression, time series forecasting, and clustering.
• Build predictive models to forecast property values, rental income, and market demand.
• Create insightful dashboards and visualizations for senior management and investment committees.

Skills

SQL

Python

R

Statistics

Data wrangling

Communication

Education

Master's or PhD in Data Science/Statistics/ Economics/Computer Science/Real Estate

Tools

Tableau

Power BI

Matplotlib

Seaborn

Job description

About the Role

Our client, a leading data-driven real estate investment firm, is seeking a highly skilled Senior Real Estate Data Analyst to join their fully remote team. This position is pivotal in transforming complex real estate data into actionable insights that drive strategic investment decisions. You will be responsible for designing and implementing data models, performing advanced statistical analysis, and developing predictive models to identify market trends, assess investment risks, and optimize portfolio performance. The ideal candidate possesses exceptional analytical capabilities, proficiency in data visualization tools, and a strong understanding of the real estate market. This role is perfect for a self-motivated individual who excels in a remote work environment and can communicate complex findings clearly to both technical and non-technical audiences. The location associated with this role is **Mahikeng, North West, ZA**, but the position is fully remote.

Key Responsibilities

• Collect, clean, and transform large datasets from various real estate sources.
• Develop and maintain robust data models and databases for tracking property performance, market trends, and investment metrics.
• Perform advanced statistical analysis, including regression analysis, time series forecasting, and clustering.
• Build predictive models to forecast property values, rental income, and market demand.
• Create insightful data visualizations and dashboards using tools like Tableau, Power BI, or similar.
• Collaborate with investment teams to define key performance indicators (KPIs) and reporting requirements.
• Identify new data sources and analytical methodologies to enhance insights.
• Present findings and recommendations to senior management and investment committees.
• Stay abreast of industry trends in data analytics and real estate technology.
• Ensure data integrity, accuracy, and security throughout all analytical processes.

Requirements

• Master's degree or PhD in Data Science, Statistics, Economics, Computer Science, Real Estate, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with a significant focus on the real estate industry or financial markets.
• Proven experience in building and deploying predictive models and statistical analysis.
• Expert proficiency in SQL and programming languages such as Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Strong understanding of real estate investment principles, market dynamics, and financial modeling.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain complex technical concepts to a non-technical audience.
• Demonstrated ability to work independently and manage projects effectively in a fully remote setting.
• Residing within or having knowledge of the **Mahikeng, North West, ZA** area is beneficial but not mandatory due to remote nature.

Benefits

This fully remote position offers a highly competitive salary and bonus structure. Employees enjoy unparalleled flexibility and the ability to work from anywhere in South Africa. Our client invests in continuous learning, providing access to cutting-edge training, conferences and professional development opportunities. You will work with a talented team on impactful projects that directly influence investment strategies.