About this role
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
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● Analyze property and portfolio performance across occupancy, revenue, ADR, RevPAR
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and booking pace.
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● Build and maintain dashboards and weekly/monthly performance reports.
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● Clean, validate and reconcile data from PMS, OTAs and spreadsheets.
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● Identify trends, anomalies and data gaps, and explain their causes.
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● Compare performance across properties, locations, channels and time periods.
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● Support pricing, forecasting and revenue decisions using demand and historical data.
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● Analyze revenue, costs and profitability where data is available.
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● Automate reporting to reduce manual data preparation.
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● Present clear insights and recommendations to management.
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● Work with Revenue, Operations, Finance and Property Management teams to maintain
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data quality.
Requirements
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Qualifications
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● Bachelor's degree in Data Analytics, Business Analytics or Data Science.
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● At least 2–4 years of experience in data analysis, business intelligence, revenue analytics or real estate analytics.
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● Advanced Excel / Google Sheets skills, including PivotTables, XLOOKUP.
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● Experience with Power BI, Tableau or a similar visualization tool.
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● Working knowledge of SQL.
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● Strong data cleaning, validation and visualization skills.
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● Strong analytical and problem-solving skills, with the ability to explain what the data means, not just report it.
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● High attention to detail in identifying and resolving data inconsistencies.
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● Strong communication skills, with the ability to present findings to technical and non-technical audiences.
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● Experience in short-term rentals, serviced apartments, hotels or property management is an added advantage.
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● Familiarity with booking platforms such as Airbnb, Booking.com or PMS systems is an added advantage.