Remote Real Estate Insights Analyst

Placements24

Paarl

Hybrid

ZAR 350,000 - 650,000

Full time

7 days ago
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Benefits offered by this job

Remote stipend
Health insurance
Paid time off
Advanced analytics tools
Collaborative culture

Job summary

Placements24 is seeking a meticulous Remote Real Estate Data Analyst to gather, clean, and interpret large real estate datasets with a focus on the Paarl region. You will develop dashboards to visualize market trends and deliver actionable insights to guide pricing, acquisitions, and marketing decisions.

The role emphasizes data quality, statistical analysis, and collaboration with cross-functional teams in a fully remote setup.

Qualifications

  • Bachelor's degree in data-related field.
  • Experience with real estate data is preferred.
  • Strong skills in SQL, Python or R for data analysis.

Responsibilities

  • Collect, process, and analyze large datasets related to property transactions, market values, and demographic information.
  • Develop and maintain dashboards and reports to visualize key real estate market trends and performance indicators.
  • Identify patterns, opportunities, and potential risks within the real estate market through statistical analysis.
  • Collaborate with cross-functional teams to provide data-driven recommendations for property acquisition, pricing, and marketing strategies.
  • Ensure data accuracy, integrity, and compliance with data privacy regulations.

Skills

Analytical thinking
Remote collaboration
Communication

Education

Bachelor's degree in Data Science, Statistics, Economics, Real Estate, or a related field

Tools

SQL
Python
R
Tableau
Power BI

Job description

Placements24 is seeking a meticulous Remote Real Estate Data Analyst to gather, clean, and interpret large real estate datasets with a focus on the Paarl region. You will develop dashboards to visualize market trends and deliver actionable insights to guide pricing, acquisitions, and marketing decisions.

The role emphasizes data quality, statistical analysis, and collaboration with cross-functional teams in a fully remote setup.

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