Data Analyst - Trip.com Group (Remote from Bali)

Join Trip.com Group, a global leader in travel services, and take your career to new heights as a Data Analyst based in beautiful Bali. In this role, you’ll leverage data-driven insights to optimize customer experiences, enhance operational efficiency, and drive strategic decisions. As a Data Analyst at Trip.com Group, you will work with large datasets, using tools like SQL, Python, and Tableau to extract meaningful patterns and trends. This is your chance to make a real impact in the travel industry from the stunning island of Bali.

Trip.com Group is more than just a company; it’s a journey. Founded in 2003, we have grown to become a leading provider of travel services, including flights, hotels, and vacation packages. Our mission is to make travel accessible and enjoyable for everyone. In this role, you will be part of a dynamic team that values innovation, collaboration, and continuous learning. Every day, you will have the opportunity to work on exciting projects that will shape the future of travel.

📋 Tanggung Jawab Pekerjaan

• Collect, clean, and analyze large datasets to identify trends and patterns.
• Develop and maintain dashboards and reports using Tableau and Power BI.
• Write complex SQL queries to extract and manipulate data from various sources.
• Create data visualizations to present insights to stakeholders.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Assist in the development of predictive models using Python and machine learning libraries.
• Monitor data quality and ensure accuracy of reports.
• Participate in data-driven decision-making processes to support business strategy.

🎓 Kualifikasi & Syarat

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 2-4 years of experience in data analysis or a related role.
• Proficiency in SQL, Python, and R.
• Experience with data visualization tools such as Tableau and Power BI.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Familiarity with machine learning and predictive modeling is a plus.

🛠️ Keahlian

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