Bangkok, Thailand
We check listings for employer identity, role clarity, and application links before publishing.
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.
Wondering if your experience matches this role? Upload your CV to see matched skills, a fit score, and areas to develop.
This role is part of the Performance Marketing Team, a data-driven department focused on developing at-scale marketing programs to improve customer lifetime value. The Analyst will work on experimentation and optimization, analyzing vast amounts of data generated by experiments to develop predictive models. Responsibilities include building dashboards to track performance, deriving insights, and communicating recommendations to stakeholders. The position requires liaising with product teams to implement roadmap changes.
Experiment with pricing strategies on different traffic and segments
Analyze vast amounts of data generated by experiments
Develop predictive models using data science techniques
Build dashboards to track performance and derive insights
Liaise with product teams on implementation roadmap
Bachelor’s Degree or higher from a top university in a quantitative subject
Ability to communicate fluently in English
2+ years’ experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company
Exposure to data analysis packages or databases (e.g., SAS, R, SPSS, Python, VBA, SQL)
Good numerical reasoning skills
Proficiency in Excel
Intellectual curiosity
Experience in digital marketing
Academic research experience
Review Hiring Process Guidelines before interview
Job listings are sourced from company websites and career pages. Learn more about how we source jobs.
Bangkok Jobs is not affiliated with the hiring companies. Please verify all job details directly with the employer before applying. We are not responsible for the accuracy of job postings or hiring decisions.