Data Analyst

PRIME Philippines

Philippines, Quezon City

3-5 Years

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Posted 2 months ago
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Job Description

Real Estate Research & Data Analyst

Job Type: Full-time

Key Responsibilities

Market Research and Real Estate Analysis
Conduct research and analysis on commercial, residential, industrial, and agricultural property markets
Assist in preparing research reports with clear property descriptions, valuation methodologies, and market insights
Analyze property and rental market trends, absorption rates, competitive landscapes, and emerging real estate trends
Support evaluation of property investments, market risks, and growth opportunities
Monitor changes in real estate laws, taxation, and industry practices affecting the market
Contribute to economic and market reports related to employment, population growth, and other sector drivers
Assist in preparing periodic research reports published by PRIME Philippines Research
Data Collection and Management
Gather, clean, validate, and integrate data from internal and external sources
Maintain and regularly update property databases via fieldwork, client calls/visits, and desktop research
Ensure data accuracy, consistency, and completeness
Build and maintain structured datasets and data models for analysis and reporting
Data Analysis, Reporting, and Visualization
Conduct in-depth analysis to identify trends, correlations, and key market or business drivers
Design, develop, and maintain dashboards, charts, and visualizations using Power BI
Translate complex data into actionable and visually engaging insights for stakeholders
Ensure consistency and alignment of key metrics across business units
Continuously enhance reporting frameworks based on feedback
Business Support and Collaboration
Collaborate with team leader and internal teams to understand client-specific research requirements
Provide analytical support and ad hoc reports to support strategic planning and decision-making
Present data-driven insights to technical and non-technical audiences
Support client-facing research, presentations, and publications with data-backed insights

Qualifications

Bachelors degree in Statistics, Economics, Data Analytics, Information Systems, or related field
34 years of experience in data analytics, research, or business intelligence
Strong proficiency in Power BI, Excel, and data modeling; familiarity with SQL or Python is a plus
Proven ability to interpret data, generate insights, and communicate findings effectively
Excellent attention to detail, critical thinking, and problem-solving skills
Ability to manage multiple projects and meet deadlines in a fast-paced environment