Remote Real Estate Data Analyst

Placements24; Rustenburg; Remote; ZAR 979,000 - 1,632,000; Full time

Benefits offered by this job

Competitive salary

Fully remote work

Health insurance

Professional development

Access to analytics platforms

Job summary

Placements24 seeks a meticulous Remote Real Estate Data Analyst to collect, interpret, and report on market data nationwide, delivering actionable insights to leadership.

You will build dashboards with KPIs, conduct property- and region-specific research, and forecast market movements to inform investment strategies. This fully remote role suits data-driven professionals.

Qualifications

• Bachelor's degree in Economics, Finance, Statistics, Mathematics or a related quantitative field.
• Proven experience as a Data Analyst with a focus on real estate.
• Proficiency in Excel, SQL, Python (Pandas, NumPy) and R.
• Experience with data visualization tools like Tableau or Power BI.
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Collect, clean, and analyze large real estate datasets (pricing, inventory, demographics).
• Develop dashboards and reports visualizing KPIs and market insights.
• Research property types, regions, and economic factors driving the market.
• Identify trends, risks, and opportunities to guide strategic planning.
• Collaborate with cross-functional teams on acquisition, pricing, and investments.
• Apply statistical methods and models to forecast market behavior and values.

Skills

Excel

SQL

Python

R

Pandas

NumPy

Education

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

Tools

Tableau

Power BI

Job description

About the Role

Our client is looking for a meticulous and analytical Remote Real Estate Data Analyst to support their operations nationwide. In this fully remote role, you will be responsible for collecting, interpreting, and reporting on complex real estate market data, providing critical insights to inform strategic decisions. You will work closely with acquisition teams, market research, and executive leadership to identify trends, forecast market movements, and assess investment opportunities across various regions. This is an ideal position for a data-driven professional who is passionate about real estate and thrives in an independent, technology-enabled work environment, contributing vital intelligence that shapes our client's strategic direction and market positioning.

Key Responsibilities

• Collect, clean, and analyze large datasets related to real estate market performance, including pricing, inventory, and demographic trends.
• Develop and maintain dashboards and reports visualizing key performance indicators (KPIs) and market insights.
• Conduct in-depth research on specific property types, geographical areas, and economic factors influencing the market.
• Identify emerging trends, risks, and opportunities within the real estate sector to support strategic planning.
• Collaborate with cross-functional teams to provide data-driven recommendations for acquisition, pricing, and investment strategies.
• Utilize advanced statistical techniques and data modeling to forecast market behavior and property values.

Requirements

• Proven experience as a Data Analyst with a focus on the real estate industry or a related field.
• Strong proficiency in data analysis tools such as Excel, SQL, Python (Pandas, NumPy), and R.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work autonomously and manage multiple projects effectively in a remote setting .
• A Bachelor's degree in Economics, Finance, Statistics, Mathematics, or a related quantitative field is required.

Benefits

• Competitive annual salary and performance-based bonuses.
• Fully remote work arrangement offering flexibility and work-life balance.
• Comprehensive health, dental, and vision insurance coverage.
• Opportunities for professional development, including training in advanced analytics tools.
• Access to cutting-edge data and analytics platforms.