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Listing record updated: September 11, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.

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About the position

This role is part of the B2B Digital Marketing team within Agoda's B2B Marketing organization. The team delivers scalable marketing campaigns for partners across B2B2C channels, focusing on operational excellence and growth impact. The Analyst will work closely with Commercial, Product, Data, and regional Marketing teams to execute campaigns, measure performance, and provide data-driven recommendations. Responsibilities include experimenting with ad structures and bidding strategies on platforms like Google and Bing, modeling data to understand campaign impacts, and building dashboards to track performance and derive insights.

Candidates must possess a Bachelor's degree in a quantitative subject and have 2+ years of experience in data analysis from top-tier consulting, investment banking, or strategy roles within a fast-growing global tech company. Proficiency in data analysis packages such as SAS, R, SPSS, Python, VBA, SQL, and visualization tools like Tableau or Power BI is required. The role demands the ability to make decisions based on objective evidence, strong organizational skills, and the capacity to work independently.

Responsibilities

Experiment with ads/campaign structures and bidding strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines

Analyze vast amounts of data generated by experiments and develop predictive models

Build dashboards to track performance, derive insights, and understand growth levers

Liaise with product teams on implementation roadmap for data science techniques

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)

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, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI

Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel

Excellent organizational skills, attention to detail and ability to work independently

Nice to have

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

Hiring Process

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