Remote Real Estate Data Analyst

Placements24; KwaZulu-Natal; Remote; ZAR 450,000 - 780,000; Full time

Job summary

Placements24 is seeking a highly analytical Remote Real Estate Data Analyst to join their fully remote team. You will extract, analyze, and interpret complex real estate data to drive strategic business decisions and inform market penetration strategies.

Work with product, marketing, and sales to deliver data-driven recommendations; build dashboards, ensure data quality, and stay ahead of industry trends using Python, SQL, and BI tools.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst, preferably within the real estate or financial services industry.
• Strong proficiency in data analysis and statistical modeling tools such as Python (Pandas, NumPy, Scikit-learn), R, SQL.

Responsibilities

• Collect, clean, and process large datasets from various real estate sources, ensuring data integrity and accuracy.
• Perform in-depth analysis of market trends, property values, sales volumes, and rental yields.
• Develop predictive models for property price forecasting, investment risk assessment, and market demand.
• Create clear and compelling data visualizations, dashboards, and reports to communicate findings to non-technical stakeholders.
• Identify KPIs and track them to measure the effectiveness of business strategies.
• Collaborate with cross-functional teams (product, marketing, sales) to understand their data needs and provide analytical support.
• Conduct ad-hoc analyses to address specific business questions and opportunities.
• Stay current with industry best practices, new analytical techniques, and emerging technologies in data science and real estate.
• Contribute to development and refinement of data infrastructure and analytical tools.
• Ensure data privacy and security protocols are adhered to in all data handling processes.

Skills

Python

R

SQL

Tableau

Power BI

Statistics

Data Modeling

Data Visualization

Cloud Platforms

Education

Bachelors/Masters in Data Science or related field

Tools

Pandas

NumPy

Scikit-learn

Tableau

Power BI

AWS

Azure

GCP

Job description

full-time

About the Role Our client, a fast-growing proptech company, is seeking a highly analytical and detail-oriented Remote Real Estate Data Analyst to join their fully remote team. This position is critical for extracting, analyzing, and interpreting complex real estate data to drive strategic business decisions. You will be responsible for developing insights into market trends, property valuations, investment opportunities, and consumer behavior across various regions. As a remote-first organization, seamless communication and self-discipline are essential. You will work closely with product, marketing, and sales teams to provide data-driven recommendations that shape our client's offerings and market penetration strategies. This role offers the flexibility of working from anywhere, with a focus on delivering impactful results through data. If you have a passion for real estate and a strong aptitude for data science, this is the perfect opportunity to contribute to the future of property technology from the comfort of your home office.

Key Responsibilities

• Collect, clean, and process large datasets from various real estate sources, ensuring data integrity and accuracy.
• Perform in-depth analysis of market trends, property values, sales volumes, and rental yields.
• Develop predictive models for property price forecasting, investment risk assessment, and market demand.
• Create clear and compelling data visualizations, dashboards, and reports to communicate findings to non-technical stakeholders.
• Identify key performance indicators (KPIs) and track them to measure the effectiveness of business strategies.
• Collaborate with cross-functional teams (product, marketing, sales) to understand their data needs and provide analytical support.
• Conduct ad-hoc analyses to address specific business questions and opportunities.
• Stay current with industry best practices, new analytical techniques, and emerging technologies in data science and real estate.
• Contribute to the development and refinement of our client's data infrastructure and analytical tools.
• Ensure data privacy and security protocols are adhered to in all data handling processes.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst, preferably within the real estate or financial services industry.
• Strong proficiency in data analysis and statistical modeling tools such as Python (Pandas, NumPy, Scikit-learn), R, SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently, manage priorities, and meet deadlines in a remote environment.
• Strong communication and presentation skills, with the ability to explain complex data concepts clearly.
• Familiarity with real estate market data sources and metrics is a significant plus.
• Experience with cloud platforms (AWS, Azure, GCP) is beneficial.
• Must have a reliable internet connection and a dedicated home office setup.

Benefits

• Fully remote work arrangement offering flexibility and work-life balance.
• Competitive salary package and performance-based bonuses.
• Opportunity to work with cutting-edge technology and data platforms.
• Professional development opportunities and access to training resources.
• Contribute to innovative solutions in the rapidly evolving proptech sector.
• Collaborative and supportive team culture, despite the remote setting.
• Comprehensive health and wellness benefits.
• Generous paid time off and holiday allowance.