Performance Marketing Analyst

Job Description

Performance Marketing Analyst | Agoda

The Tone:
This is an early career role for a Performance Marketing Analyst at Agoda, with opportunities to contribute from various locations worldwide. Agoda, a key part of Booking Holdings, is dedicated to bridging the world through travel, striving to make global exploration accessible by connecting people with millions of hotels, properties, flights, and experiences. In this role, you will join a Performance Marketing Team recognized as a world leader in online marketing, focused on developing large-scale programs to enhance the lifetime value of Agoda customers. This position offers a unique chance to innovate within a highly data-driven, technology-centric culture, working alongside a global team of analysts, strategists, and data scientists to shape the future of travel marketing.

The TL;DR
• Role: Early Career
• Location: Various locations worldwide
• Team: Performance Marketing Team at Agoda
• Mission: Enhance the lifetime value of Agoda customers through measurable marketing channels and initiatives.
• Tech Stack: SAS, R, SPSS, Python, VBA, SQL, Tableau

What You’ll Actually Do
• Search Engine Marketing: Experiment with text ads, bidding strategies, and campaign structures across major search engines like Google, Bing, Baidu, and Naver.
• Campaign Implementation: Adapt to new product features and implement changes based on successful tests.
• Display Advertising: Design, test, analyze, and optimize advertising campaigns on leading social and display platforms including Facebook, Twitter, and Instagram.
• Data Analysis: Analyze vast amounts of data generated from marketing experiments and develop sophisticated models for optimization.
• Dashboard Creation: Construct insightful dashboards for account managers to support decision-making.

The Must-Haves
• Background: Bachelor’s Degree or higher from a top university in a quantitative subject such as Computer Science, Mathematics, Economics, Engineering, Statistics, or a related science field.
• Experience: 0-1 years of experience, welcoming fresh graduates, paired with a basic understanding of business principles.
• Technical Skills: Proficiency in statistics and Excel; familiarity with A/B testing concepts; and exposure to data tools like SAS, R, SPSS, Python, VBA, SQL, or Tableau.
• Communication & Work Style: Ability to communicate fluently in English and work under close supervision, supporting projects with guidance.
• Bonus: Experience in digital marketing or academic research experience.