About the role
Responsibilities:
- Analyze real estate market data to derive pricing and valuation insights.
- Enhance and refine pricing/valuation models using structured datasets.
- Maintain and manage large datasets for trend analysis and decision-making.
- Collect and map unit-level property data for analytics and intelligence systems
- Work on both field data collection and desk-based analysis.
- Collaborate with internal teams to improve data accuracy and usability.
- Identify market trends, anomalies, and investment signals.
Requirements:
- 1+ years of experience in data analysis/valuation/realt estate analytics.
- Background in engineering, data science, economics, or finance.
- Strong analytical and problem-solving skills.
- Comfortable working with large datasets and structured data systems.
- High attention to detail and accuracy.
- Ability to work independently in a fast-paced startup environment.
- Strong communication and structured thinking.
Preferred Skills:
- Excel / Google Sheets (advanced level).
- SQL / Python (good to have).
- Data visualization tools (Power BI, Tableau).
- Understanding of real estate market dynamics.
- Experience in pricing models or valuation frameworks.