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Salary analysis
Compared with the selected benchmark ("All roles in Bangkok, Thailand"), this listing's salary midpoint is about 93% lower. The offer sits below the benchmark range (€9,260–€13,890). The listed pay band (€759–€885) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Marketing Analyst | €8,392/per month | €9,260/per month | €10,128/per month |
| All roles in Bangkok, Thailand | €9,260/per month | €13,890/per month | €13,890/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €759/per month | €822/per month | €885/per month |
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, 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 hotels, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fuelling our curiosity and innovation. In this Role, you’ll get to: Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Display: Test, analyse, and optimize campaigns on Facebook, Twitter, Instagram, and others. Modeling: Analyze data generated by experiments, develop models for optimization, and build dashboards for account managers. What you’ll Need to Succeed: Bachelor’s Degree or higher from top university in a quantitative subject Ability to communicate fluently in English Good numerical reasoning skills Proficiency in Excel Intellectual curiosity It’s Great if you Have: Exposure to data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL Experience in digital marketing Academic research experience
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