Senior Data Analyst — Travel Insights (SQL & Python)

Trip.Com Travel Singapore Pte. Ltd.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Trip.com Group is seeking a BI/Data Analyst in Singapore to extract, process, and analyze large datasets from our data warehouse using SQL and Python. You will uncover trends, identify opportunities, and partner with local and global teams to deliver data-backed recommendations.

The role requires 2-5 years of BI/Data Analyst experience, strong SQL and Python skills, and the ability to communicate insights to stakeholders across the business. A passion for travel and hospitality is a plus.

Qualifications

• 2-5 years of BI/Data Analyst experience.
• Strong SQL querying and data manipulation skills.
• Proficiency in Python for advanced analytics.
• Experience storytelling with data for stakeholders.
• Interest in travel/hospitality industry.

Responsibilities

• 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.
• Partner with local Singapore teams and global HQ to translate business needs into data-backed recommendations.
• Translate analytical findings into clear, concise narratives for technical and non-technical stakeholders.
• Conduct ad-hoc analyses to support strategic initiatives.
• Contribute to BI product improvement, ensuring data quality and analytical needs are met.

Skills

SQL proficiency

Python

Data analysis

Statistics

Stakeholder management

Communication

Business analytics

Travel/hospitality interest

Time series forecasting

Regression/ML concepts

Education

Bachelor's degree or above in a quantitative field

Tools

Python libraries (pandas, scikit-learn)

SQL querying tools

Data warehouse

Job description

Trip.com Group is seeking a BI/Data Analyst in Singapore to extract, process, and analyze large datasets from our data warehouse using SQL and Python. You will uncover trends, identify opportunities, and partner with local and global teams to deliver data-backed recommendations.

The role requires 2-5 years of BI/Data Analyst experience, strong SQL and Python skills, and the ability to communicate insights to stakeholders across the business. A passion for travel and hospitality is a plus.