Reporting & Analytics Specialist - Real Estate

In this role, you will analyze large datasets spanning real estate bookings, inventory allotments, billing schedules, recoveries, receivables, and operational KPIs. You will translate complex business requirements into clear management dashboards, identify data anomalies, and perform multi-source data reconciliations. Leveraging modern AI development tools (such as Claude and VS Code), you will automate routine reporting workflows, streamline data pipelines, and present actionable financial insights directly to executive leadership.

Key Responsibilities

• Management Reporting & Dashboards: Prepare, maintain, and publish daily, weekly, and monthly management reports, executive dashboards, and KPI tracking scorecards.
• Financial & Commercial Data Analysis: Analyze portfolio-level property data—including billings, collections, outstanding installment receivables, recovery performance against targets, and variance trends.
• Data Integrity & Reconciliation: Conduct systematic data validation and reconciliation between ERP/CRM system records, accounting source files, and operational spreadsheets to eliminate discrepancies and anomalies.
• Real Estate Commercial Operations: Track business processes related to property sales, customer bookings, inventory management, allotments, unit transfers, possessions, and customer accounts.
• AI-Driven Automation & Efficiency: Utilize AI tools (e.g., Claude, VS Code, automated scripts) to automate manual reporting, streamline documentation, optimize analytical workflows, and extract predictive trends.
• Cross-Functional Collaboration: Partner closely with Finance, Commercial, IT/BI, Customer Services, and Property Management teams to gather reporting requirements and resolve data gaps.
• Executive Decision Support: Deliver clear data-driven findings and strategic recommendations to leadership to support property portfolio planning and financial risk mitigation.

Requirements

Education, Technical Skills & Domain Experience

• Education: Bachelor’s degree in Business Administration, Finance, Accounting, Economics, Management Information Systems (MIS), Data Analytics, or a related quantitative field.
• Experience Track: 2 to 5 years of hands-on experience in business reporting, MIS management, financial/commercial analysis, or business intelligence.
• Industry Sector: Prior experience within the real estate, property development, or construction sector is strongly preferred.
• Advanced Software Proficiency: Advanced mastery of Microsoft Excel (complex formulas, pivot tables, data modeling, dashboards) along with Word and PowerPoint.
• AI Tool Literacy: Practical familiarity using generative AI tools and developer environments (e.g., Claude, VS Code, Python/VBA scripting) for workflow automation and data interpretation.
• Financial Acumen: Deep understanding of commercial reporting concepts, revenue recognition, billing/collections cycles, and KPI benchmarking.
• Stakeholder Management: Excellent verbal and written communication skills to present data insights clearly to cross-functional teams and executive leadership.

Preferred Qualifications

• Hands-on experience operating real estate enterprise software (CRM, ERP, or specialized Property Management Systems).
• Demonstrated experience building automated executive dashboards and reporting pipelines.
• Familiarity with BI tools (e.g., Power BI, Tableau) or data querying languages (SQL).

Total Rewards & Benefits

• Market-Competitive Compensation: Salary package structured according to experience and analytical expertise.
• AI Integration Environment: Opportunity to apply cutting-edge AI tools and automation methodologies to enterprise reporting.
• Career Advancement: Direct exposure to executive leadership with clear growth paths into BI Management, Commercial Strategy, or Finance Operations roles.