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Agoda

201-500 people


Data & Analytics

Analyst, Flights Marketing (Bangkok Based, relocation provided)

  • Bangkok
  • Mid-level
  • On-site
  • Full time
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Location

Bangkok

Setup

On-site

Posted

1 month ago

What you'll do

Flights marketing is a numbers job with real commercial weight. You’ll test how Agoda prices and promotes flights, then turn the results into decisions about where to invest.

What the role really is

You’ll work across analysis, pricing experiments, and performance marketing to grow Agoda’s flights business. The work is hands-on: make sense of experiment data, build dashboards, and recommend what to do next.

What you'll do

  • Analyze experiment data and build dashboards.
  • Turn findings into actionable recommendations.
  • Test pricing approaches across marketing channels.
  • Scale performance marketing channels such as metasearch and ads.
  • Work with cross-functional stakeholders on investment plans for markets and channels.

What they want

  • A bachelor’s degree or higher in a quantitative subject, such as computer science, mathematics, engineering, statistics, or science.
  • Clear, fluent English communication.
  • Strong numerical reasoning and problem-solving skills.
  • Proficiency in Excel and SQL.
  • Intellectual curiosity.
  • Experience with data analysis tools or databases, digital marketing, or the travel sector, especially flights, is a plus.

Why it's interesting

This role puts analysis close to the decisions that shape flight marketing. If you like testing ideas, reading the numbers, and making a case for where marketing investment should go, it’s a strong fit. Agoda says relocation is provided for this Bangkok-based role.

Salary

Not disclosed

Location

Bangkok. Onsite. Full-time. Relocation provided.

Ready when you are

Interested in this role?

Apply now and hear back within days, not weeks.

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About Data & Analytics roles

Data & analytics professionals in marketing transform raw data into actionable insights. They build dashboards, run attribution analysis, design experiments, and help marketing teams make data-driven decisions.

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