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[Summer Internship 2026] CEG Data Analytics Intern

Confirmed live in the last 24 hours

Agoda

Agoda

Bangkok
On-site
Posted January 26, 2026

Job Description

About Agoda

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.  

 

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

 

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

Get to know our team:  

The Customer Experience Group (CEG) of Agoda effectively serves our customers and partners to ensure satisfying results. This great task is accomplished with the support of our Global Service Vertical team. We serve as the backbone for Customer Experience Group’s global operations. Our team is comprised of project managers, process owners, analysts, and talent management. Together we work to improve the quality and efficiency of our customer and partner support processes. Working with the Global Service Vertical team is a great opportunity to collaborate with various stakeholders and develop initiatives with other subsidiaries of Booking Holdings and external partners all over the world. We are in a very data-driven environment, eager to move fast and learn through experimentation. A clear focus on supporting our customers and partners is bolstered by a strong, entrepreneurial culture that enriches us and Agoda’s business performance.

The opportunity: 

Get to learn from the CEG data analytics team which serves as a key support team for driving data driven insight and strategy for our CEG business leaders. We provide essential data visualization using advanced BI tools, drive various cost saving and efficiency projects using ML techniques and predictive analytics as well as drive key changes in the business by supporting various A/B experiments. Our team consists of highly motivated, fast-moving and self-driven analysts who work side by side with project managers and business leaders.

In this role, you'll get to:

  • Analyze large volumes of customer and booking data to provide actionable insights and strategic recommendations to leadership, supporting data-driven decision-making.
  • Identify and design process improvements to enhance Customer Experience Agent productivity and operational efficiency.
  • Assess the impact of agent performance on customer satisfaction and loyalty.
  • Collaborate with senior analysts to deliver key business projects using advanced analytical tools and methodologies.
  • Clearly communicate findings and recommendations to stakeholders, supporting the implementation of effective business solutions.

What you'll need to succeed:

  • Currently enrolled as a 3rd-year student or below in engineering, mathematics, statistics, data science, computer science or a related degree program with a strong academic record and will maintain student status throughout the internship period
  • Available to participate in the internship program from 22nd of May to 31st July 2026 (10-week program)
  • Proficiency in SQL and programming knowledge: extract data from large databases using SQL to develop data queries
  • Proficiency in Microsoft Excel: Functions and formulas (e.g., Vlookup, Xlookup, Pivot table, mathematical functions)
  • Great English communication skills in both spoken and written forms
  • Strong business acumen and excellent problem-solving skills including the ability to analyze and resolve complex problems
  • Excellent communication and comprehension skills: confident in communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds results successfully
  • Ability to work in a fast-paced, dynamic, multicultural environment
  • Attentive to detail and committed to data i
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