Job Description
Team Management:
- Supervise, mentor, and coordinate the work of a team of real estate analysts and researchers.
- Assign daily tasks, set priorities, and monitor performance to ensure timely and accurate output.
- Provide regular feedback, training, and development opportunities to team members.
- QC reports / periodicals authored by junior research members
Research Operations:
- Oversee the collection, validation, and analysis of real estate data including leases, sale, rents, construction status, and economic indicators.
- Ensure process adherence to standardized methodologies for data gathering and reporting.
- Maintain quality control across research deliverables including reports, dashboards, and presentations.
Market Intelligence & Reporting:
- Produce regular market research reports covering trends, forecasts, and competitive analysis across asset classes (residential, commercial, industrial, etc.).
- Collaborate with internal stakeholders (investment, development, acquisitions, and strategy teams) to provide actionable insights.
- Monitor key trends, regulatory changes, and economic factors affecting real estate markets.
Process Improvement:
- Identify and implement improvements in research tools, workflows, and data sources.
- Introduce automation or advanced analytics techniques to enhance team productivity and insight generation.
Stakeholder Engagement:
- Act as a point of contact for external data providers, consultants, and industry bodies.
- Present research findings to internal leadership or external clients when needed.
About You:
- Bachelors degree in Real Estate, Economics, Urban Planning, Finance, or a related field (Masters degree preferred).
- 12+ years of experience in real estate research or analytics, with at least 2-3 years in a team leadership role.
- Strong knowledge of real estate markets, data sources, and research methodologies.
- Proficiency in MS Excel, PowerPoint, and other research tools (e.g., REIS, PropEquity, Real Capital Analytics etc.)
- Experience with GIS, data visualization, or statistical software (e.g., Tableau, Power BI, R, or Python) will be an advantage.
- Excellent communication, organizational, and leadership skills.
