Property Data Analyst

This is a remote position.

Work Schedule: 

Job Summary: Join our dynamic real estate advisory firm as a Property Data Analyst and play a critical role in managing and analyzing high-value property portfolios. This position will immerse you in advanced data analysis, leveraging cutting-edge AI tools to optimize property investment strategies and deliver actionable insights. As part of our growth-oriented team, your work will directly impact client success and portfolio performance.

Key Responsibilities:

• Portfolio Analysis: Conduct in-depth analysis of client property portfolios, spanning residential and commercial assets, to identify patterns, trends, and strategic insights.
  
• Data Management: Develop and maintain complex spreadsheets and databases to support portfolio analysis, review, and reporting.
  
• Asset Optimization: Identify underperforming assets and recommend strategies for portfolio optimization based on thorough data assessment.
  
• Cost & Yield Analysis: Evaluate property management costs and rental yields to inform client decisions and optimize financial outcomes.
  
• Market & Valuation Support: Assist in property valuation and market analysis, providing real-time insights into changing market conditions.
  
• Insight Communication: Synthesize complex data into clear, actionable insights that support strategic decision-making for clients.
  

Requirements

• Technical Proficiency: Advanced skills in Microsoft Excel or similar spreadsheet software, with experience handling large datasets and performing complex calculations.
  
• Analytical Skills: Demonstrated ability in quantitative analysis, pattern recognition, and statistical data interpretation.
  
• Real Estate Knowledge: Familiarity with key real estate metrics, including cap rates, occupancy rates, yield analysis, and market dynamics.
  
• Data-to-Action Translation: Skilled at translating analytical findings into strategic recommendations and reports for clients.
  
• Commercial Property Experience: Experience in commercial property analysis is highly desirable.
  
• Educational Background: Degree in Actuarial Science, Statistics, Economics, or a related field (beneficial but not required).
  

Scopes and Collaboration:

• Independent & Team Work: Ability to handle complex, independent analytical tasks while collaborating closely with onshore team members.
  
• Workload Adaptability: Comfortable managing fluctuating workloads based on client needs and deadlines.
  
• Tool Proficiency: Adapt to and learn new property data platforms, AI tools, and analysis software.
  
• Process Development: Contribute to the development of standardized portfolio review processes, with the ability to perform complex data modeling.