Data Analyst-Real EstateRevenue

Job Description

• The Data Analyst will analyze property, booking, revenue and operational data to provide actionable insights that improve occupancy, pricing, revenue and portfolio performance.

Key Responsibilities

• Analyze property and portfolio performance across occupancy, revenue, ADR, RevPAR and booking pace.
• Build and maintain dashboards and weekly/monthly performance reports.
• Clean, validate and reconcile data from PMS, OTAs and spreadsheets.
• Identify trends, anomalies and data gaps, and explain their causes.
• Compare performance across properties, locations, channels and time periods.
• Support pricing, forecasting and revenue decisions using demand and historical data.
• Analyze revenue, costs and profitability where data is available.
• Automate reporting to reduce manual data preparation.
• Present clear insights and recommendations to management.
• Work with Revenue, Operations, Finance and Property Management teams to maintain data quality.

 Qualifications

• Bachelor's degree in Data Analytics, Business Analytics or Data Science.
• At least 2–4 years of experience in data analysis, business intelligence, revenue analytics or real estate analytics.
• Advanced Excel / Google Sheets skills, including PivotTables, XLOOKUP.
• Experience with Power BI, Tableau or a similar visualization tool.
• Working knowledge of SQL.
• Strong data cleaning, validation and visualization skills.
• Strong analytical and problem-solving skills, with the ability to explain what the data means, not just report it.
• High attention to detail in identifying and resolving data inconsistencies.
• Strong communication skills, with the ability to present findings to technical and non-technical audiences.
• Experience in short-term rentals, serviced apartments, hotels or property management is an added advantage.
• Familiarity with booking platforms such as Airbnb, Booking.com or PMS systems is an added advantage.