Summary
Date Posted: Friday, February 28 2025, Base Salary: Not Disclosed

JOB DETAILS:

Company Culture:
Innovation, collaboration, and hybrid work. Competitive renumeration, tech stipends, and professional development opportunities.

NOTE: All Applications including a Curriculum Vitae (CV), Certifications and References MUST be submitted and addressed to: the Administrative Officer (AO) not later than 22nd March 2025.

Department: Business Intelligence, Innovations & Strategy (BIIS) Reports To: Business Growth Strategist
Location: Hybrid (Office/Remote)
Job Type: Full-Time
Number of Posts: Three (3)
Renumeration: Monthly Wage based on Key Performance Indicators (KPIs).

Job Summary:
The Data Analyst leverages big data, AI, and market intelligence to provide actionable insights that inform real estate investment decisions, pricing strategies, operational efficiency and customer behavior patterns.

Key Responsibilities:
• Analyze property market trends, customer behavior, and investment performance data.
• Use predictive analytics and AI-driven tools to forecast real estate market shifts, trends, customer segmentation, investment risks and providing insights to support sales and development decisions.
• Handle big data, using tools like Python, R, SQL; and data visualization tools like Tableau or Power BI dashboards.
• Support strategic decision-making by providing insights on pricing, demand patterns, and competitive analysis.
• Monitor economic indicators affecting real estate investments, including inflation, interest rates, and zoning regulations.
• Collaborate with the finance and sales teams to optimize revenue generation and risk mitigation.
• Analyze MLS, CoStar, and IoT-generated data for market trends.
• Understanding of real estate metrics like occupancy rates, ROI, etc., and building
• predictive models for occupancy rates and ROI using Python/R.
• Support development teams with feasibility studies.


Skills & Qualifications:
• Expertise and Proficiency in SQL, Python, R, statistical modeling and real estate analytics platforms.
• Strong understanding of AI, machine learning, and predictive modeling.
• Experience in data visualization and reporting tools.
• Knowledge of real estate finance, property valuation, and investment metrics e.g. KPIs (cap rates, NOI).
• Bachelors in Data Science, Statistics, Finance, Economics, or related field.

Preferred:
• Experience with geospatial analysis tools (GIS).

NEEDED TRANSFERABLE SKILLS
• Emotional Intelligence (EQ).
• Creative Problem Solving.
• Effective Communication. Collaboration and Team Work. Adaptability, Flexibility & Resilience. Conflict Resolution.
• Leadership and Initiative.


Education Requirement: No Requirements

Job Experience: No Requirements

Work Hours: 8

Experience in Months:

Level of Education:

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