Senior Data Analyst – Global Travel Analytics & Insights

Ctrip Group

Singapore

On-site

SGD 70,000 - 110,000

Full time

17 hours ago
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Benefits offered by this job

Flexible work arrangement
Global career opportunities
Company events and celebrations

Job summary

Trip.com Group is seeking a BI Analyst to extract and analyze large datasets from our data warehouse using SQL and Python. You will work closely with Singapore teams and global HQ to understand business needs and provide data-backed recommendations, translating complex analyses into clear, actionable narratives for stakeholders.

The role requires 2–5 years in BI or data analysis, strong SQL, and a passion for data-driven travel industry insights.

Qualifications

  • 2–5 years of BI/Data Analyst experience.
  • Strong SQL querying and data manipulation skills.
  • Experience with Python and advanced analytics is a plus.
  • Understanding of business drivers and metrics in e‑commerce or consulting helpful.

Responsibilities

  • Extract, process, and analyze large datasets from the data warehouse using SQL and Python.
  • Perform deep-dive analyses to uncover trends and diagnose business problems.
  • Partner with local Singapore teams and global HQ to translate needs into data-backed recommendations.
  • Translate findings into clear narratives for technical and non‑technical stakeholders.
  • Conduct ad-hoc analysis to support strategic initiatives.
  • Contribute to BI product improvement and ensure data quality.

Skills

SQL
Python
Data analysis
Stakeholder management
Communication

Education

Bachelor's degree or above in a quantitative field

Job description

Trip.com Group is seeking a BI Analyst to extract and analyze large datasets from our data warehouse using SQL and Python. You will work closely with Singapore teams and global HQ to understand business needs and provide data-backed recommendations, translating complex analyses into clear, actionable narratives for stakeholders.

The role requires 2–5 years in BI or data analysis, strong SQL, and a passion for data-driven travel industry insights.

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