Data Analyst

We are seeking a detail-oriented and analytical Data Analyst to join our real estate team. The ideal candidate will be responsible for collecting, analyzing, and interpreting real estate market data, sales performance metrics, customer insights, and operational data to support strategic business decisions. The Data Analyst will work closely with sales, marketing, finance, and management teams to provide actionable insights that drive growth and improve operational efficiency.

• Key ResponsibilitiesData Collection & ManagementGather, clean, and validate data from CRM systems, property portals, ERP systems, and internal databases.
• Maintain data accuracy, integrity, and consistency across multiple platforms.
• Develop and manage data repositories, dashboards, and reporting systems.
• Data Analysis & ReportingAnalyze property sales, leasing performance, customer behavior, and market trends.
• Generate daily, weekly, and monthly business performance reports.
• Prepare analytical reports and presentations for senior management.
• Identify trends, patterns, and opportunities to improve business performance.
• Market Research & InsightsConduct real estate market analysis, competitor benchmarking, and pricing studies.
• Monitor property market trends, demand forecasts, and investment opportunities.
• Provide recommendations based on data-driven insights.
• Dashboard DevelopmentDesign and maintain interactive dashboards using Power BI, Tableau, or similar BI tools.
• Automate reporting processes to improve efficiency and reduce manual work.
• Business SupportCollaborate with Sales and Marketing teams to measure campaign effectiveness and lead conversion rates.
• Support management in forecasting sales revenue and business growth.
• Assist in identifying operational inefficiencies and recommend improvements.
• Required SkillsStrong knowledge of Microsoft Excel (Advanced).
• Proficiency in SQL for data extraction and analysis.
• Experience with Power BI, Tableau, or other visualization tools.
• Knowledge of Python, R, or statistical analysis tools is preferred.
• Strong analytical and problem-solving abilities.
• Excellent attention to detail and accuracy.
• Good communication and presentation skills.
• Ability to work with large datasets and derive meaningful insights.
• Preferred QualificationsExperience in the Real Estate industry is highly preferred.
• Knowledge of CRM systems and real estate databases.
• Understanding of sales analytics, customer analytics, and market research.
• Key Performance Indicators (KPIs)Accuracy and timeliness of reports.
• Dashboard utilization and reporting efficiency.
• Data quality and integrity standards.
• Business insights generated and implemented.
• Improvement in decision-making through analytics.