Data Analyst

About Agoda

Agoda connects the world through travel, making exploration accessible since its inception in 2005. As part of Booking Holdings [NASDAQ: BKNG], our diverse team of over 7,000 individuals from 90 countries collaborates globally to connect people with destinations and experiences through exceptional deals on millions of properties, flights, and activities. At Agoda, data and technology are central to our culture, driving innovation and curiosity. Join us to embark on your best journey and contribute to building travel for the world.

This Marketing Analytics Data Analyst position is based in Bangkok, Thailand, and is open to global candidates. We offer a comprehensive relocation package to support your transition to living and working in Bangkok.

Get to Know Our Team:

The Performance Marketing Team at Agoda is a global leader in online marketing. This highly data-driven department focuses on developing large-scale marketing programs designed to enhance customer lifetime value through measurable marketing initiatives and channels. The team comprises top-tier analysts, marketing strategists, and data scientists. Our marketing leadership brings extensive expertise in data science, product development, strategy, and marketing, fostering an organization that thrives on data, creativity, and technology. The Performance Marketing Team also cultivates a rich learning environment, offering opportunities to grow alongside experts from diverse international backgrounds.

Responsibilities:

• Search: Conduct experiments on text ads, bidding strategies, and campaign structures across search engines like Google, Bing, Baidu, and Naver. Adapt to new product features and implement successful test outcomes.
• Display: Design, test, analyze, and optimize campaigns across social platforms such as Facebook, Twitter, and Instagram.
• Modeling: Analyze extensive experimental data, develop models for optimization, and construct dashboards for account managers.

• 2-3 years of relevant experience.
• Bachelor's Degree or higher from a reputable university in a quantitative field (e.g., computer science, mathematics, economics, engineering, statistics, or science).
• Strong proficiency in English communication.
• Solid business acumen.
• Exceptional statistical and analytical skills.
• Proficiency in Excel and hands-on experience with data tools such as SAS, R, SPSS, Python, VBA, SQL, and Tableau.
• Demonstrated experience in designing and analyzing A/B tests.
• Ability to work independently on daily analytics tasks and provide actionable business recommendations.

• Experience in digital marketing.
• Academic research experience.