DATA ANALYST – REAL ESTATE & REVENUE

DUTIES AND RESPONSIBILITIES

Property Performance and Revenue Analysis

• Analyse property and portfolio performance across occupancy, revenue, Average Daily Rate (ADR), Revenue per Available Room (RevPAR), booking pace, cancellations, and other relevant hospitality metrics.
• Compare performance across properties, locations, booking channels, customer segments, and time periods to identify trends, variances, and opportunities for improvement.
• Support pricing, demand forecasting, and revenue management decisions using historical performance, current booking data, market trends, and demand patterns.

Data Management and Quality Assurance

• Collect, clean, validate, and reconcile data from PMS platforms, OTAs, spreadsheets, and other operational and financial systems.
• Investigate data discrepancies, anomalies, missing information, and inconsistencies, identifying root causes and coordinating corrective action with relevant teams.
• Establish and maintain reliable data sources, standardised KPI definitions, and quality control procedures to ensure accurate and consistent reporting.

 Dashboards and Management Reporting

• Build and maintain interactive dashboards and performance reports using tools such as Microsoft Excel, Power BI, Tableau, or similar business intelligence platforms.
• Prepare accurate weekly and monthly reports covering revenue, occupancy, pricing performance, booking pace, property comparisons, and other relevant KPIs.
• Present analytical findings to management through clear visualisations, concise summaries, and practical recommendations that support business planning and decision-making.

Forecasting, Profitability and Business Insights

• Analyse booking trends, historical performance, seasonality, demand patterns, and booking lead times to support revenue forecasting and business planning.
• Analyse revenue, operating costs, and profitability where data is available, highlighting performance gaps and opportunities to improve financial returns.
• Identify revenue leakage, underperforming properties, pricing inefficiencies, and other commercial opportunities, recommending evidence-based corrective actions.

 Reporting Automation and Stakeholder Collaboration

• Automate recurring reports and data preparation processes to reduce manual work, improve reporting speed, and minimise errors.
• Work closely with Revenue Management, Operations, Finance, and Property Management teams to validate data, understand performance drivers, and improve reporting processes.
• Support the implementation of standardised reporting procedures, maintain documentation, and continuously improve analytical tools and reporting practices.

KEY REQUIREMENT SKILLS AND QUALIFICATION

• 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.

HOW TO APPLY

• If you meet the above qualifications, skills and experience share CV on recruitment@britesmanagement.com
• Interviews will be carried out on a rolling basis until the position is filled.
• Only the shortlisted candidates will be contacted.