高级数据分析师(海外业务-base新加坡)
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Description
Key Responsibilities
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.
Qualifications & 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.