高级数据分析师（海外业务-base新加坡）(MJ036862)

岗位职责

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.