Data Analyst-Real Estate&Revenue

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. Requirements 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.