Lead Analyst (Supply Analytics, Bangkok-based, Relocation provided)
Confirmed live in the last 24 hours
Agoda
Job Description
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
Location: Bangkok, Thailand (*Not open for remote work)
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:
As a Lead Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
In this Role, you’ll get to:
- Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output)
- Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
- Proactively identify opportunities for growth within supply and the wider business.
- Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
- Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
- Automate manual operational processes and present back on time savings gained through modernization of business operations
What you’ll Need to Succeed:
- At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
- Advanced working knowledge and hands-on experience in SQL
- Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
- Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
- Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
- A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
- Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
- Experience in conducting A/B testing experimentation
- Strong experience in finding data insights and provide business recommendation to the business
- A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototypi