Analyst/ Senior Analyst, Pricing Optimization

About the role

Join the Performance Marketing team to influence global travel pricing strategies through data-driven experimentation. You will work within a diverse, international group of analysts and data scientists to refine marketing programs and improve customer lifetime value. In this capacity, you will own the end-to-end analytical lifecycle for pricing initiatives, translating ambiguous business questions into structured analytical plans. You will partner closely with cross-functional stakeholders to ensure that your findings directly support strategic marketing investments and revenue goals. Your work will establish the empirical foundation for testing hypotheses about traveler behavior and price sensitivity. You will be responsible for maintaining rigorous standards of data quality and reproducibility in all analytical deliverables. This role requires a proactive mindset to identify opportunities where pricing adjustments can unlock incremental performance. Ultimately, you will act as a trusted advisor to marketing and product leaders, guiding decisions with clear, evidence-based recommendations.

Key facts

What you'll do

• Design and implement controlled pricing experiments to measure the impact of variable traffic segments and product features on conversion and revenue.
• Construct econometric and statistical models to estimate demand elasticity and price responsiveness across different customer cohorts.
• Partner with product and engineering teams to translate analytical insights into prioritized implementation roadmaps for pricing features.
• Develop interactive performance dashboards that visualize key metrics and enable stakeholders to monitor the health of pricing initiatives in real time.
• Conduct deep-dive analyses to isolate root causes of performance variance and identify high-impact growth opportunities.
• Establish standardized data collection frameworks to ensure consistency and accuracy in measuring experiment results over time.
• Synthesize complex analytical findings into concise narratives and visual presentations that drive stakeholder alignment and decision-making.
• Proactively monitor market and competitor pricing trends to inform hypotheses and refine testing strategies.
• Define success metrics and guardrail indicators to evaluate the downstream effects of pricing changes on customer acquisition and retention.
• Mentor junior analysts by providing guidance on analytical methods, data interpretation, and best practices for reporting.
• Lead scoping sessions to clarify business problems and translate them into measurable analytical objectives.
• Collaborate with finance teams to validate pricing assumptions and ensure alignment with overall budget and forecasting processes.
• Maintain a documented playbook of pricing insights and experimental learnings to support organizational knowledge sharing.
• Champion data-driven decision culture by demonstrating the value of rigorous analysis over intuition-based discussions.
• Explore advanced analytical techniques, such as causal inference and uplift modeling, to strengthen the validity of pricing tests.

Requirements

• Hold a Bachelor degree or higher in a quantitative field such as computer science, mathematics, engineering, or science from a top-tier university.
• Bring a minimum of 2 years of professional experience in investment banking, management consulting, private equity, or strategy/business operations within a global tech firm.
• Demonstrate fluency in English, both written and verbal, for effective communication with global stakeholders.
• Exhibit strong numerical reasoning skills and advanced proficiency in Excel for data manipulation and financial analysis.
• Possess hands-on experience with at least one data analysis tool or database, such as Python, R, SAS, SPSS, SQL, or VBA.
• Show intellectual curiosity and a commitment to continuous learning in analytical methods and business problems.
• Have a proven ability to work independently and manage multiple analytical priorities in a fast-paced environment.
• Display strong attention to detail and accuracy when working with large datasets and complex calculations.
• Communicate effectively with both technical and non-technical audiences, bridging the gap between data and business decisions.
• Align with Agoda's values of ownership, collaboration, and data-driven execution.

Nice to have

• Bring a background in digital marketing to directly relate analytical work to campaign performance and media mix decisions.
• Contribute experience in academic research, particularly in designing experiments and evaluating causal effects.

Practical notes

• Review the Agoda hiring process guidelines at careersatagoda.com/interview/ prior to your interview.
• Agoda is an equal opportunity employer committed to a diverse and inclusive workplace.
• Unsolicited third-party or agency submissions are not accepted.