Analyst/Senior Analyst/Associate Manager, Marketing Analytics (Bangkok Based, relocation provided)

About the role

The Marketing team at Agoda is highly data-driven and focuses on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists, and data scientists, collectively building a team that thrives on data, creative ideas, and technology.

The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.

Responsibilities

• Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
• Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g., understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on implementation roadmap.
• Build dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders.

Requirements

• Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, business, or science)
• Excellent verbal and written communication skills in English
• 2+ years experience in data crunching from top-tier consulting, investment banking, private equity, or strategy/business for a fast-growing global tech company
• Experience in one or more data analysis packages or databases (SAS, R, SPSS, Python, VBA, SQL), and visualization tools (Tableau, Power BI)
• Ability to move fast and make decisions on objective evidence rather than subjective gut feel
• Innate desire to take ownership, make an impact, and influence outcomes
• Excellent organizational skills, attention to detail, and ability to work independently

Qualifications

• Experience in digital marketing or ecommerce
• Experience with A/B testing and other testing metrics
• Strong presentation and negotiation skills
• Skills that foster collaboration and team spirit

Skills

• Data representation
• Data analysis
• SQL
• Data analytics
• Python (programming language)
• Data mining
• Data science
• R (programming language)
• Tableau
• Analytical skills
• Data visualization
• Databases
• Business analysis
• Business intelligence (BI)
• Microsoft SQL Server
• Machine learning
• Statistics
• Power BI