Analyst/Senior Analyst, Brand Marketing - Agoda

The Brand Marketing team seeks an Analyst to scale digital marketing and brand research efforts. The role involves managing digital campaign planning, A/B testing, and reporting across channels like Meta and YouTube. The analyst will also manage and analyze brand research projects. The position is based in Bangkok, Thailand, offering relocation support. The role requires analyzing campaign and research data to deliver insights that shape team strategy and build an engaging brand in the tech-and-travel space. Responsibilities include conducting A/B testing on platforms like Facebook and TikTok, owning digital campaign performance, communicating test results, and collaborating with external media partners like Google and Meta.

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.

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.

Communicate test results & campaign learnings to the team and broader stakeholders through comprehensive analysis, reporting and data visualization.

Delve into data from digital tests & research studies to gather useful insights for optimization of brand campaigns.

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.

A minimum of a bachelor’s degree in mathematics, marketing, communication, business, or another related field.

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.

Knowledge of statistics and data processing practices (calculating p-values, data cleaning and normalization, regressions, etc.)

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