Remote Real Estate Data Analyst

Placements24; Noord-Kaap; Hybrid; ZAR 300,000 - 520,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Competitive salary

Incentives

Job summary

Placements24 is seeking a highly analytical Remote Real Estate Data Analyst to join its innovative team. You will collect, clean, and interpret large datasets related to the real estate market to inform business strategy, pricing, acquisitions, and marketing decisions.

The ideal candidate has strong data skills, experience with Excel, SQL, Python or R, and data visualization tools such as Tableau or Power BI. This is a fully remote role with flexible hours.

Qualifications

• Bachelor's degree in a quantitative field.
• Proven experience as a Data Analyst with a focus on real estate data analysis.
• Strong proficiency in data analysis tools such as Excel, SQL, Python, or R.
• Experience with data visualization tools Tableau and Power BI.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and manage projects in a remote capacity.

Responsibilities

• Collect, clean, and organize real estate data from multiple sources.
• Perform statistical analysis to identify market trends and investment opportunities.
• Develop dashboards and reports to visualize data for stakeholders.
• Conduct CMA and provide data-backed pricing recommendations.
• Collaborate with sales, marketing, and investment teams to support data-driven decisions.
• Stay updated on data analysis tools and methodologies in real estate analytics.

Skills

Excel

SQL

Python

R

Education

Bachelor's degree in Statistics, Economics, Data Science, Finance, or a related quantitative field

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and data-driven Remote Real Estate Data Analyst to join their innovative team. This role is essential for collecting, analyzing, and interpreting large datasets related to the real estate market to inform business strategy and decision-making. You will be responsible for creating reports, identifying trends, and providing insights that drive property acquisitions, sales, and marketing efforts. The ideal candidate is adept at working with data, possesses strong technical skills, and can communicate complex findings clearly in a remote setting.

Key Responsibilities

• Collect, clean, and organize real estate data from various sources, including market reports, transaction records, and online platforms.
• Perform statistical analysis to identify market trends, pricing patterns, and investment opportunities.
• Develop dashboards and reports to visualize data and communicate key insights to stakeholders.
• Conduct comparative market analysis (CMA) and provide data-backed recommendations for pricing strategies.
• Collaborate with sales, marketing, and investment teams to support data-driven decision-making.
• Stay updated on data analysis tools and methodologies relevant to the real estate industry.

Requirements

• Bachelor's degree in Statistics, Economics, Data Science, Finance, or a related quantitative field.
• Proven experience as a Data Analyst , with a focus on real estate data analysis.
• Strong proficiency in data analysis tools such as Excel, SQL, Python, or R.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and manage projects effectively in a remote capacity.

Benefits

• Fully remote work arrangement with flexible hours.
• Competitive salary and performance-based incentives.
• Opportunity to work with cutting-edge data analytics tools and technologies.
• Professional development and training in data science and real estate analytics.
• Contribute to strategic decisions that shape the future of the company's real estate portfolio.