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.