Senior BI Analyst (Supply Analytics, Bangkok-based)

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 experi...

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.

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

4+ 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).
3+ years of experience with BI & analytics tools (SQL, Tableau, Metabase or PowerBI)
Experience in conducting A/B testing experimentation (a plus) 
Experience in Python or R (a plus)
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 in both decision making and performance measurement.
Extreme comfort in ambiguous, fast-paced environment.
Ability to multi-task, prioritize and coordinate resources.
Travel industry / e-commerce / tech / consulting experience.
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