Description
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, 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.
This role is based in Bangkok, Thailand, and is open to candidates worldwide. We offer a generous relocation package to ensure a smooth transition to living and working in Bangkok.
Get to Know our Team:
The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world.
In this Role, you’ll get to:
- Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
- Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
- Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
What you’ll Need to Succeed:
- 2–3 years of experience
- Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science)
- Strong English communication
- Solid business acumen
- Strong statistical and analytical skills
- Proficient in Excel and hands-on with data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau)
- Experience designing and analyzing A/B tests
- Works independently on daily analytics tasks and provides business recommendations
It’s Great if you Have:
- Experience in digital marketing
- Academic research experience