Data Analyst-Real Estate&Revenue

Role Overview

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

What You Will Do

Analyze property and portfolio performance, build and maintain dashboards, clean and validate data, identify trends and anomalies, and present clear insights to management.

Why It Might Be a Fit

Strong data cleaning, validation and visualization skills, analytical and problem-solving skills, and strong communication skills are required.

Requirements

• 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

Tagged as: Data Analysis