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Dash Living Pte. Ltd. in Hong Kong is seeking a Revenue Analyst to own daily room-rate pricing, demand modeling, and yield management across its portfolio of properties.
The role targets candidates who transform large data sets into actionable pricing decisions, commercial insights, and high-impact presentations for executive stakeholders. Responsibilities include dynamic pricing, mass data analysis, strategic recommendations, and creating monthly commercial dashboards.
We are looking for a high-caliber, data-driven Revenue Analyst to join our Hong Kong headquarters. In this role, you will take ownership of daily room rate pricing, demand modeling, and yield management across our portfolio of properties.
We value candidates from data-heavy industries (such as financial services, aviation, consumer technology, or corporate business analytics) who excel at transforming large data sets into actionable pricing decisions, commercial insights, and high-impact presentations for executive stakeholders.
Responsibilities:
Dynamic Pricing & Rate Optimization: Execute day-to-day rate management and pricing updates across short-stay and long-stay inventory, aligning rate grids with real-time market demand, seasonal shifts, competitor movements, and occupancy targets.
Mass Data Analysis & Commercial Insights: Extract, clean, and analyze high-volume performance datasets to evaluate pickup velocity, channel contribution, length-of-stay patterns, and overall yield performance.
Strategic Recommendations: Monitor underlying demand indicators and deliver proactive recommendations to leadership to capture revenue upside and optimize room allocations
Executive Presentations & Decks: Build clear, visually structured slide presentations and monthly commercial dashboards for management
Tools & Process Improvement: Identify opportunities to automate regular reporting workflows, maintain pricing databases, and refine yield management spreadsheets for optimal team efficiency.
Requirements:
2–5 years of solid experience as a Business Analyst, Data Analyst or Commercial/Revenue Analyst
Prior industry background in corporate environments with mass data flow (e.g., aviation/airlines like Cathay Pacific, banking/cards like American Express, fintech, or top-tier retail) is highly preferred.
Advanced proficiency in Microsoft Excel (complex formulas, nested functions, pivot tables, lookup models, data validation, and scenario analysis)
Strong verbal and written communication skills in English and Cantonese
High autonomy, intellectual curiosity, and a proactive attitude