Market Intelligence Manager | Real Estate | Shared Services
Job details
Market Intelligence Manager | Real Estate | Shared Services Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate. By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day. Overview of the role: The primary purpose of the Market Intelligence role is to provide actionable insights that drive the company's competitive positioning, revenue optimization, and market responsiveness. This role enables the company to make informed decisions, mitigate risks, and leverage market opportunities by closely monitoring real estate trends, buyer behaviors, and economic indicators. What you will do:
- Market and Competitor Analysis:
- Conduct comprehensive market research to monitor property demand, competitor offerings, and pricing trends across various real estate segments (e.g., residential, commercial, retail).
- Analyze competitor strategies and market share to inform competitive positioning and project differentiation.
- Use economic indicators, demographics, and historical sales data to predict future demand in specific real estate segments.
- Stay informed on regulatory changes (e.g., zoning laws, tax policies) that could affect market dynamics or property values.
- Pricing Strategy and Revenue Optimization:
- Develop dynamic pricing models based on transaction data, location-specific demand, and competitive benchmarks.
- Make pricing recommendations that maximize revenue potential, aligning prices with market trends, customer expectations, and company financial goals.
- Project potential revenue from various pricing strategies to guide development and marketing plans.
- Data Analytics and Predictive Modeling:
- Use advanced analytics and predictive models to forecast demand, price shifts, and investment risks.
- Build and maintain data dashboards that provide real-time insights to key stakeholders for ongoing decision-making.
- Benchmarking and Best Practices by studying leading practices in real estate market intelligence and continuously refine methodologies, data sources, and analytical techniques.
- Customer and Buyer Insights:
- Analyze buyer profiles and segment target markets based on preferences, purchasing power, and motivations.
- Provide marketing teams with buyer insights to tailor strategies, supporting effective positioning and engagement.
- Reporting and Communication:
- Provide weekly, monthly, or quarterly reports on market performance, trends, competitor actions, and potential risks.
- Create concise, actionable summaries for executive teams, highlighting insights, risks, and opportunities.
- Act as a trusted advisor to cross-functional teams, including Sales, Marketing, Development, and Finance, ensuring market intelligence is integrated into strategic planning and operational decisions.
- Provide executive teams with periodic reports and updates, highlighting emerging trends, competitive threats, and market opportunities.
- Bachelor’s degree in Real Estate, Economics, Finance, Business Analytics, or a related field is essential. A Master’s degree (e.g., MBA, Master’s in Real Estate, or Data Science) is preferred.
- Professional certifications in real estate (e.g., MRICS, CCIM) or data analytics (e.g., Certified Analytics Professional, Tableau Certification) are advantageous.
- Proficient in statistical analysis, data mining, and data interpretation. Able to draw actionable insights from complex datasets.
- In-depth understanding of market research methodologies, competitor analysis, and comparative market analysis (CMA).
- Skilled in predictive analytics and modeling techniques for trend forecasting, pricing elasticity, and demand forecasting.
- Strong command of data visualization tools (Power BI, Tableau, etc.) and reporting formats to communicate findings effectively to stakeholders.
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