×
Register Here to Apply for Jobs or Post Jobs. X
More jobs:

Remote Real Estate Data Analyst

Remote / Online - Candidates ideally in
Midrand, Gauteng, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-20
Job specializations:
  • IT/Tech
    Data Analyst
Job Description & How to Apply Below
About the Role

Our client is seeking a highly analytical and detail-oriented Remote Real Estate Data Analyst to join their innovative team. This fully remote position will focus on leveraging data to provide actionable insights into the real estate market. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets related to property transactions, market trends, and economic indicators. The ideal candidate is proficient in data analysis tools and techniques and has a passion for uncovering patterns and trends within the real estate sector.

This role is crucial for informing our client's strategic decisions and enhancing their market positioning, offering significant impact without the need for physical office presence. This role is based in the Midrand, Gauteng region but is performed entirely remotely.

Key Responsibilities
  • Collect, clean, and organize large datasets from various sources, including market reports, public records, and internal databases.
  • Perform statistical analysis to identify market trends, patterns, and correlations within real estate data.
  • Develop and maintain dashboards and reports to visualize key performance indicators and market insights.
  • Utilize data analytics tools and programming languages (e.g., Python, R, SQL) to extract and analyze information.
  • Provide data-driven recommendations to inform business strategy, investment decisions, and marketing efforts.
  • Collaborate with cross-functional teams to understand their data needs and provide analytical support.
  • Ensure data accuracy, integrity, and adherence to data privacy regulations.
  • Research and stay updated on emerging trends in data analytics and the real estate industry.
  • Communicate complex findings in a clear and concise manner to both technical and non-technical audiences.
Requirements
  • A Bachelor's degree in Data Science, Statistics, Economics, Finance, Real Estate, or a related field.
  • Minimum of 3 years of experience in data analysis, with a focus on the real estate sector preferred.
  • Strong proficiency in SQL for data extraction and manipulation.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Proficiency in statistical programming languages like Python or R is highly desirable.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong understanding of real estate market dynamics and data sources.
  • Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
  • Strong communication and presentation skills.
Benefits

This is a fully remote position, offering exceptional flexibility and work-life balance. Our client offers a competitive salary and benefits package, including health insurance and retirement savings plans. Opportunities for professional growth and development in data science and real estate analytics are provided. You will be part of an innovative and forward-thinking company that values data-driven insights. Access to state-of-the-art analytical tools and resources is guaranteed.

Work from anywhere within South Africa while contributing to impactful real estate strategies.

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary