Real Estate Data Analyst

Placements24

Newlands

Hybrid

AUD 70,000 - 110,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Flexible remote work arrangement
Cutting-edge data tools and methods
Exposure to diverse real estate data

Job summary

Placements24 is seeking a detail-oriented Real Estate Data Analyst to join the analytics team. The role focuses on gathering, interpreting, and presenting complex real estate data to inform strategic decisions for the Queenstown market.

You will work with large datasets, identify trends, create visualizations, and provide actionable insights to sales, marketing, and investment teams. A passion for uncovering patterns in real estate data is essential.

Qualifications

  • Bachelor's degree in Data Science, Statistics, Economics, Real Estate, or a related field.
  • Proven experience as a Data Analyst, with a focus on or strong interest in the real estate sector.
  • Proficiency in SQL, Python or R for data manipulation and analysis.
  • Experience with data visualization tools and techniques.
  • Strong analytical, problem-solving, and communication skills.

Responsibilities

  • Collect, clean, and organize large datasets related to real estate transactions, market conditions, and property attributes.
  • Perform statistical analysis to identify trends and correlations within the Queenstown market.
  • Develop and maintain dashboards and reports using Tableau or Power BI.
  • Interpret data findings and translate them into clear, actionable insights for stakeholders.
  • Collaborate with cross-functional teams to understand data needs and provide analytical support.
  • Stay current with data analysis techniques and real estate industry trends.

Skills

SQL
Python/R
Tableau
Power BI
Data visualization
Analytical thinking

Education

Bachelor's degree in Data Science/Statistics/Economics/Real Estate

Tools

Tableau
Power BI
Python
R

Job description

About the Role

Our client is seeking a detail-oriented Real Estate Data Analyst to join their analytics team, supporting operations primarily focused on the Queenstown market. This role is crucial for gathering, interpreting, and presenting complex real estate data to inform strategic decisions. You will work with large datasets, identify market trends, create visualizations, and provide actionable insights to the sales, marketing, and investment teams. The ideal candidate possesses strong analytical and technical skills, with a passion for uncovering patterns in the Eastern Cape property market and driving data-informed strategies.

Key Responsibilities
  • Collect, clean, and organize large datasets related to real estate transactions, market conditions, and property attributes.
  • Perform statistical analysis to identify trends, patterns, and correlations within the Queenstown property market.
  • Develop and maintain dashboards and reports using data visualization tools (e.g., Tableau, Power BI).
  • Interpret data findings and translate them into clear, actionable insights for various stakeholders.
  • Collaborate with cross-functional teams to understand their data needs and provide analytical support.
  • Stay current with data analysis techniques and real estate industry trends.
Requirements
  • Bachelor's degree in Data Science, Statistics, Economics, Real Estate, or a related field.
  • Proven experience as a Data Analyst , with a focus on or strong interest in the real estate sector.
  • Proficiency in SQL, Python or R for data manipulation and analysis.
  • Experience with data visualization tools and techniques.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent communication skills, with the ability to present complex data clearly and concisely.
Benefits
  • Competitive salary and performance incentives.
  • Flexible remote work arrangement.
  • Opportunity to work with cutting-edge data tools and methodologies.
  • Exposure to diverse real estate data and market insights across the Eastern Cape .
  • A collaborative environment that values data-driven decision-making.
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