Real Estate Data Analyst

Placements24

Gqeberha

On-site

ZAR 350,000 - 520,000

Full time

11 days ago
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Benefits offered by this job

Competitive salary
On-site Port Elizabeth
Professional development
Medical benefits
Retirement benefits

Job summary

Placements24 is seeking a detail-oriented Real Estate Data Analyst to join their Port Elizabeth team on-site. You will collect, clean, and analyze real estate market data, develop dashboards, and present insights to guide investment and strategy.

The ideal candidate has a bachelor's in a related field, 2+ years of experience, and strong SQL, Python or R skills with Tableau/Power BI; excellent communication and teamwork are essential.

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field.
  • 2+ years of proven experience as a Data Analyst, preferably in real estate or finance.
  • Strong proficiency in SQL, Python or R for data manipulation and analysis.
  • Experience with Tableau or Power BI for data visualization.
  • Excellent analytical and problem-solving skills with keen attention to detail.

Responsibilities

  • Collect, process, and clean large datasets related to real estate market trends, property values, and sales performance.
  • Perform statistical analysis to identify key insights, patterns, and anomalies in the data.
  • Develop and maintain dashboards and reports using data visualization tools to track market performance.
  • Collaborate with marketing and sales teams to provide data-driven insights for strategic planning.
  • Conduct research on industry best practices and emerging data analysis techniques.
  • Present findings and recommendations to management in a clear and concise manner.

Skills

Analytical mindset
Attention to detail
Team collaboration

Education

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or related field

Tools

SQL
Python
R
Tableau
Power BI

Job description

About the Role

Our client is seeking a detail-oriented Real Estate Data Analyst to join their team in Port Elizabeth . This on-site role is crucial for extracting insights from complex datasets to inform strategic business decisions. You will be responsible for collecting, cleaning, and analyzing real estate market data, identifying trends, and presenting findings in a clear and actionable format. Your work will directly impact investment strategies, market positioning, and business development initiatives, requiring a strong analytical mind and a passion for uncovering patterns within data to drive real estate success.

Key Responsibilities
  • Collect, process, and clean large datasets related to real estate market trends , property values, and sales performance.
  • Perform statistical analysis to identify key insights, patterns, and anomalies in the data.
  • Develop and maintain dashboards and reports using data visualization tools to track market performance.
  • Collaborate with the marketing and sales teams to provide data-driven insights for strategic planning.
  • Conduct research on industry best practices and emerging data analysis techniques.
  • Present findings and recommendations to management in a clear and concise manner.
Requirements
  • Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field.
  • Proven experience (2+ years) as a Data Analyst , preferably in the real estate or finance industry.
  • Strong proficiency in SQL , Python or R for data manipulation and analysis.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Ability to work effectively in a team environment and communicate complex findings clearly.
Benefits
  • Competitive salary and potential for annual bonuses.
  • Stable on-site work environment in Port Elizabeth .
  • Opportunities for professional development and training in data analytics.
  • Comprehensive medical and retirement benefits.
  • Exposure to cutting-edge data analysis within the dynamic real estate sector.
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