Position overviewPosted 1 month ago

Analyst / Senior Analyst, Pricing Optimization

Agoda →
Full-time2+ years

Bangkok, Thailand

Compensation
THB 60,000 - THB 120,000
THB / month

Estimated range. Confirm compensation with the employer.

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Listing record updated: August 20, 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

Join Agoda's Performance Marketing Team to drive data-driven marketing strategies that enhance customer lifetime value. You will design and execute pricing experiments across various traffic segments, adapting to new product features based on test results. The role involves developing predictive models to understand demand elasticity and collaborating with product teams to implement roadmap changes. You will also build performance dashboards to derive actionable insights and communicate strategic recommendations to stakeholders.

This position requires a strong analytical background and the ability to translate complex data into clear business strategies. You will work closely with experts from diverse global backgrounds in a collaborative environment focused on learning and growth. The team leverages advanced data science techniques and technology to optimize marketing programs at scale.

Responsibilities

  • Design and execute A/B tests to optimize pricing strategies across different traffic segments and user groups
  • Develop predictive models to analyze demand elasticity and forecast pricing impacts
  • Collaborate with product teams to translate analytical findings into actionable implementation roadmaps
  • Build and maintain interactive dashboards to track campaign performance and key metrics
  • Derive actionable business insights from complex datasets and present recommendations to leadership
  • Monitor experiment results and adapt strategies based on performance data

Requirements

  • Bachelor’s Degree or higher in a quantitative field such as Computer Science, Mathematics, Engineering, or Science from a top university
  • 2+ years of experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing tech company
  • Strong proficiency in data analysis packages or databases including SAS, R, SPSS, Python, VBA, or SQL
  • Excellent numerical reasoning skills and ability to work with large datasets
  • Advanced proficiency in Excel for data manipulation and analysis
  • Fluent communication skills in English

Nice to have

  • Experience in digital marketing or e-commerce
  • Academic research experience in data analysis or statistics
  • Strong presentation skills for communicating complex findings to non-technical stakeholders
  • Experience with machine learning algorithms and statistical modeling

Hiring Process

1. Initial application review

2. Technical assessment

3. Interview with hiring manager

4. Final interview with team members

5. Offer discussion

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