Remote Real Estate Data Insights Analyst

Placements24

Noord-Kaap

Ibrido

ZAR 300.000 - 520.000

Tempo pieno

5 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Fully remote
Flexible hours
Competitive salary
Incentives

Descrizione del lavoro

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.

Competenze

  • 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.

Mansioni

  • 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.

Conoscenze

Excel
SQL
Python
R

Formazione

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

Strumenti

Tableau
Power BI

Descrizione del lavoro

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.

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