Analyst (Supply Analytics) (Bangkok-based role, Relocation provided)

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.

Get to Know our Team:

The Supply Analytics team is a team of creative entrepreneurs that develop solutions for Agoda’s accommodation partners and promote Agoda’s top and bottom line growth. We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda’s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.

The Supply Analytics team is a fast growing and dynamic team within Central Supply Team of Agoda. The team is responsible for developing and scaling a range of marketing solutions for accommodation partners focusing on growth, visibility, conversion, pricing recommendations and financial products, as well as advertising and display marketing solutions for businesses and travel organizations.

The team scope includes strategic planning, business development and sales operations, project management, contracting operations, risk assessment and collections operations, product development work and data analytics. Team members closely work with multiple internal stakeholders in product and tech, finance and legal, marketing and partner services in our HQ as well as in multiple offices around the world.

The Opportunity:

The role sits within the Supply Analytics team under SOAP team of Partner Services, where new business ideas, and partnership types are incubated and scaled. As an Analyst/Senior Analyst at Agoda you will use your data skills and business mindset to make a difference in our fast-growing global business across our top hotel partners. This role will be involved in strategic projects and work closely with commercial owners and business stakeholders, using data to identify and translate business needs and opportunities into actionable initiatives.

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:

• 2-6 years of experience in analytics/data science/insights/strategy.
• Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar
• Experience in conducting A/B testing experimentation
• A good understanding of statistical modelling knowledge or any machine learning technique knowledge is a plus (regression, logistic regression, random forest, etc.)
• Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
• 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 prototyping.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Data driven