Data Analyst-Real Estate&Revenue

Role Overview

The Data Analyst turns booking, property, revenue and operational data into practical guidance on how a property portfolio is performing and where it can improve. By producing reliable reporting and investigating shifts in demand, pricing and results, this role helps management make better-informed decisions about occupancy, revenue and day-to-day operations.

Key Responsibilities

• Track and interpret occupancy, average daily rate, revenue per available room, revenue and booking pace across individual properties and the wider portfolio.
• Create and maintain dashboards and regular weekly and monthly reports for management and partner teams.
• Collect, clean, validate and reconcile information from property management systems, online travel agencies and spreadsheets.
• Investigate unusual results, emerging trends and missing or inconsistent data, and explain their likely causes.
• Compare performance by property, location, booking channel and reporting period to highlight differences and opportunities.
• Use historical results and demand patterns to support pricing, revenue planning and forecasting decisions.
• Assess revenue, costs and profitability when suitable data is available, and communicate findings with clear recommendations.
• Improve reporting workflows through automation and collaborate with Revenue, Operations, Finance and Property Management teams to strengthen data quality.

Requirements & Qualifications

• Bachelor’s degree in Data Analytics, Business Analytics, Data Science or a related field.
• Two to four years of experience in data analysis, business intelligence, revenue analytics, real estate analytics or a relevant area.
• Advanced Excel or Google Sheets capability, including PivotTables and XLOOKUP.
• Experience building visual reports in Power BI, Tableau or a comparable analytics platform.
• Working knowledge of SQL.
• Strong ability to clean, validate, analyse and visualise data, with close attention to detail when resolving inconsistencies.
• Sound analytical and problem-solving skills, including the ability to explain the meaning and implications of findings.
• Clear communication skills and confidence presenting insights to both technical and non-technical audiences.
• Experience in short-term rentals, serviced apartments, hospitality or property management is an advantage.
• Familiarity with Airbnb, Booking.com, other booking platforms or property management systems is an advantage.