高级数据分析师（海外业务-base新加坡）(MJ036862)

Data Analysis: Extract, process, and analyze large datasets from our data warehouse using SQL and Python. Perform deep-dive analyses to uncover trends, identify opportunities, and diagnose business problems. Business Insight Generation: Partner closely with local Singapore teams (Supply, Operations, Marketing) and global HQ teams to understand business needs and provide data-backed recommendations. Translate complex analytical findings into clear, concise, and compelling narratives for both technical and non-technical stakeholders. Conduct ad-hoc analysis to support strategic initiatives. BI Product Contribution: Collaborate with the central teams to improve analytical models and products, ensure data quality, and advocate for the analytical needs of the Singapore business.

& Requirements Education: Bachelor's degree or above in a relevant field such as Mathematics, Statistics, Computer Science, Economics, Business, Analytics, or a related quantitative field. Experience: 2-5 years of proven experience as a BI Analyst, Data Analyst, or similar role. Must have: Solid experience in commercial/business analysis, preferably within the consulting firm or E-commerce industries. A strong understanding of business drivers and metrics is essential. Technical Skills (Must-have): Advanced proficiency in SQL for complex data querying and manipulation. Understanding of statistical concepts and strong capability in mathematics. Strong hands-on experience with Python and advanced analytics (e.g., regression, decision tree, clustering, time series & forecasting, etc.) will be a plus. Language Skills (Critical): Business-fluent proficiency in English & Chinese is required for seamless communication with local teams and analysis of local market nuances. Professional working proficiency in English & Chinese is required for communication with the global HQ team and documentation. Personal Attributes: Passionate about data science and the power of data to solve real-world business problems. Genuine interest in and curiosity about the travel and hotel industry. Excellent logical, structured, and analytical thinking skills. Proactive, self-motivated, and able to manage multiple priorities in a fast-paced environment. Strong communication and stakeholder management skills.