Jobs · Sales · Pennsylvania

Marketing Growth Strategy & Analytics (Bangkok-based, relocation provided)

Agoda · Philadelphia, PA · 2 wk ago
SalesFull-time

About the role

We are seeking experienced Marketing Growth Strategy & Analytics leaders to define and execute strategies that drive high-impact commercial initiatives. You will translate business goals into actionable plans, lead cross-functional programs, and use data and experimentation to optimize growth.

Responsibilities

  • Define and execute strategies within your scope, which may include pricing, channel performance, customer acquisition, retention, or go-to-market.
  • Lead experimentation roadmaps, including A/B tests and other measurement approaches, to evaluate impact and inform decision-making.
  • Analyze large, complex datasets to identify trends, opportunities, and risks; build dashboards and executive narratives to communicate performance effectively.
  • Model business impact, evaluate trade-offs, and support planning around P&L, growth, and long-term value creation.
  • Partner cross-functionally with Product, Finance, Corporate Strategy, Supply, and senior leadership to ensure alignment and execution.
  • Build playbooks and processes that enable scalability and repeatability across markets, channels, or partners.
  • Mentor and develop team members while fostering a high-performance, test-and-learn culture.

Requirements

  • 5+ years of experience in growth, marketing, pricing, strategy, analytics, revenue management, consulting, or related data-driven roles.
  • Strong analytical and problem-solving skills, comfortable translating ambiguity into clear frameworks and action plans.
  • Hands-on experience with SQL, Tableau, or similar BI/analytics tools; proven ability to turn data into commercial recommendations.
  • Practical experience with experimentation, measurement, and performance optimization.
  • Strong business acumen: understanding P&L drivers, unit economics, growth levers, and ROI.
  • Excellent communication and stakeholder management skills, capable of influencing senior and cross-functional audiences.
  • High ownership and execution discipline in a fast-paced, collaborative environment.
  • Bachelor's degree in Economics, Statistics, Engineering, Mathematics, Computer Science, Finance, or equivalent practical experience.
  • Experience in a high-growth digital business (e-commerce, travel, tech, fintech) or an analytically rigorous environment such as management consulting or internal strategy.
  • Familiarity with statistical analysis, forecasting, machine learning, or hypothesis-testing frameworks.
  • Experience using Python or R for analysis, modeling, or automation.
  • People management experience — hiring, coaching, and developing teams.
  • Experience with external partners, affiliates, marketplaces, loyalty programs, or B2B/B2B2C channels.
  • MBA or advanced degree (equivalent hands-on experience equally valued).
  • Work on high-impact, global business problems with direct visibility to senior leadership.
  • Shape commercial strategy in an organization that values analytical rigor, ownership, and experimentation.
  • Build and scale initiatives that influence growth, profitability, and customer experience at a global scale.

Qualifications

  • Experience in a high-growth digital business (e-commerce, travel, tech, fintech) or an analytically rigorous environment such as management consulting or internal strategy.
  • Familiarity with statistical analysis, forecasting, machine learning, or hypothesis-testing frameworks.
  • Experience using Python or R for analysis, modeling, or automation.
  • Experience with external partners, affiliates, marketplaces, loyalty programs, or B2B/B2B2C channels.
  • MBA or advanced degree (equivalent hands-on experience equally valued).

Skills

  • Pricing Strategy
  • Revenue
  • P&L
  • MSE (Meta Search Engine)
  • Data Analysis
  • SQL
  • Data Analytics
  • Analytics
  • Data Mining
  • Data Science
  • Tableau
  • Analytical Skills
  • Data Visualization
  • Databases
  • Business Analysis
  • Business Intelligence
  • Machine Learning
  • Statistics
  • Microsoft
  • Power BI
  • Travel
  • Tech

Benefits

No specific benefits mentioned in the job posting.

Pay

No specific pay information provided in the job posting.

Schedule

No specific schedule information provided in the job posting.

Additional Information

  • Agoda is an Equal Opportunity Employer.
  • We do not accept unsolicited or speculative CVs from agencies or candidates.
  • To apply, please visit here.

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