Business Analyst, Business Analysis

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.
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.
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)
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.
As a Business 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. 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
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.)
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 prototyping.
Data driven in both decision making and performance measurement.
MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
Travel industry / e-commerce / tech / consulting experience.
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We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
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