Analyst/Senior Analyst, Brand Marketing (Marketing Analytics)

About This Role

This role will support Agoda's Brand Marketing team by scaling digital marketing and brand research efforts, managing digital campaign planning and A/B testing, and analyzing brand research projects to shape strategy in the tech-and-travel space. The position is based in Bangkok, Thailand, with relocation provided.

Responsibilities

• Manage digital campaign planning and A/B testing across key digital channels like Meta, Twitter, YouTube
• Be responsible for management and analysis of brand research projects
• Analyze campaign and research data to deliver insights that will shape the team’s strategy
• Conduct A/B testing on platforms like Facebook, Instagram, Twitter, TikTok and YouTube, as well as brand research in-house and with external agencies
• Own the performance of digital and social campaigns, optimize critical campaign metrics, and monitor data for media delivery
• Communicate test results and campaign learnings to the team and broader stakeholders through comprehensive analysis, reporting and data visualization
• Develop key learnings for different media platforms and markets
• Delve into data from digital tests and 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
• Consolidate media data and analysis with digital activity being run in-house

Requirements

• 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

Qualifications

• 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

Nice to Have

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

Skills

* Required skills

Benefits