6 days ago

Analyst/ Senior Analyst, Pricing Optimization

Agoda

Melbourne

6 days ago

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Agoda is seeking an Analyst or Senior Analyst for Pricing Optimization, based in Bangkok with relocation provided. The role involves experimentation, modeling, and reporting to optimize campaign performance. Candidates need a quantitative degree, 2+ years of experience in consulting or tech strategy, and proficiency in data analysis tools.

AI-enabledOn-siteFull-timeMid LevelSASR

Analyst/ Senior Analyst, Pricing Optimization

Apply

AI-enabledOn-siteFull-timeMid LevelSAS

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

On-site

Experience Required

2 years

Employment Type

Full-time

Experience Level

2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations

Core Qualifications

Technical (Must-have)

SASRSPSSPythonVBASQLExcelData AnalysisData VisualizationStatistical ModelingPredictive ModelingA/B TestingDashboardingPresentation Skills

Soft Skills

CommunicationNumerical ReasoningIntellectual CuriosityCollaboration

Preferred Qualifications

Technical (Nice-to-have)

Digital MarketingAcademic Research

Key Responsibilities

•Experiment with pricing strategies on different traffic and segments
•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
•Liaise with product teams on implementation roadmap
•Build dashboards to track performance
•Derive insights and understand growth levers
•Communicate recommendations via presentations to stakeholders

Pricing OptimizationAnalystSenior AnalystPerformance MarketingData ScienceBangkokFull-timeOn-siteTravelTechnology

Key Responsibilities

•Experiment with pricing strategies on different traffic and segments

•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

•Liaise with product teams on implementation roadmap

•Build dashboards to track performance

•Derive insights and understand growth levers

•Communicate recommendations via presentations to stakeholders