Analyst/Senior Analyst, Brand Marketing (Bangkok Based, Relocation provided)

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.

The Brand Marketing team is looking for an Analyst to scale digital marketing & brand research efforts. As part of the Brand Media & Measurement team, you will manage digital campaign planning, A/B testing, and reporting across key digital channels like Meta, Twitter, YouTube etc., and also be responsible for management & analysis of brand research projects.

Responsibilities:

• Experiment: Conduct A/B testing on platforms like Facebook, Instagram, Twitter, TikTok and YouTube, as well as brand research in-house & with external agencies to demonstrate the impact of campaign activity on brand awareness.
• Execute: Own the performance of digital & social campaigns, optimize critical campaign metrics, and keep an eye on data to ensure that media is delivering against the plan.
• Learn: Communicate test results & campaign learnings to the team and broader stakeholders through comprehensive analysis, reporting and data visualization. Develop key learnings for different media platforms and markets.
• Analyse: Delve into data from digital tests & research studies to gather useful insights for optimization of brand campaigns.
• Collaborate: Liaise with external media partners (e.g. Google, Meta) for planning, analysis and execution, and consolidate media data and analysis with digital activity being run in-house.

Requirements:

• A minimum of a bachelor’s degree in mathematics, marketing, communication, business, or another related field
• At least 2 years of experience in analytically focused positions
• Great SQL & Tableau knowledge
• Advanced knowledge of Excel, very comfortable using VLOOKUP and Pivot Tables
• Great project management, measurement, and planning capability; taking ownership from the start to the finish
• Knowledge of statistics and data processing practices (calculating p-values, data cleaning and normalization, regressions, etc.) is a plus