Manager/Senior Manager, Supply Analytics (Bangkok Based Relocation Benefits Provided)

 

THIS ROLE IS BASED IN BANGKOK, THAILAND (RELOCATION PROVIDED)

Get to Know our Team: 

The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.

The Opportunity:

We are seeking a Manager/Senior Manager to lead strategic and operational initiatives that create both growth and efficiency for the Supply department. In this role, you will work directly with multiple stakeholders, including executive leadership and various cross-functional departments to successfully implement key initiatives. You will impact Agoda's business through exploring new business opportunities, analyzing complex scaling challenges, and improve existing operations.

In this Role, you’ll get to: 

• General: This role is a blend of hands on ‘in the business’ and executive level ‘on the business’ work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy.
• Project Delivery: Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization.
• Experimentation: Define success, measure / validate experiments and help ingrain an experimental mindset within the teams.
• Forecasting and Insights: Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors.
• Analytics & Alerts: Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency.
• Process Improvement: Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements.
• Reporting: Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts.
• Leadership: Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams.

 What you’ll Need to Succeed:

• 5+ years of leadership experience in analytics/data science/insights/strategy
• 2+ years’ experience leading analytics, operational, product or other technical teams
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar
• Strong statistical modelling and machine learning knowledge
• Strong experience in finding data insights and provide business recommendation to the business
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Ability to multi-task, prioritize and coordinate resources.
• Strong program/project management experience.
• Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance)
• Experience in articulating strategic issues and negotiating with C-level executives – experience in leading strategy consulting projects a plus
• People management – track record of developing stars
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process

It’s Great if you Have:

• Master’s degree in statistics, economics, mathematics or similar discipline
• Experience in conducting A/B testing experimentation
• Travel industry / e-commerce / tech / consulting experience