Technology and Analytics Management Trainee (TMT) program is designed with the aim to attract and develop young graduates with high technical potential and outstanding learning agility to be our future technical leaders. During thetrainee period, you will have the opportunity to experience positions indifferent business domain focuses with the leading technical learning.
Talents in our TMT Program will have the great opportunities to experience and witnessthe digital transformation journey at Budweiser APAC by applying leading technology and analytics to engage our business partners and consumers,transform the business operation model, re-design E2E architecture and platformfrom Commercial, Procurement, Supply to Logistics across the board.
Technical Assessment (Tech Track Only）
We are looking for people with passion for beer and the FMCG industry, who have a 'challenge accepted' mentality and who can align to and live our culture.
For technical track, we willprovide the opportunity to be part of the digital transformation of leadingFMCG company.
For non-technical track, we willprovide the opportunity to operate digital product (App, WeChat App) feelingthe business pulse with advanced tools and technology.
• Degree:Ph.D/Master/Bachelor,graduate in 2023 or have less than two years of full-time work experience
•Major:Computer Science/ElectricalEngineering/Mathematics/Physics/Automation/Statistics Software
•Degree:Master/Bachelor, graduate in 2023 or have less than two years of full-time workexperience
David Guo Jiawei
Class 2019 SMT
"The opportunity of working for the best beer company in the world is always the grandest dream for me, a beer lover. What has attracted me most to work at Budweiser APAC are the company's unique dream, its culture, and its people."
After graduating from the City University of Hong Kong with a Master's degree in Operations and Supply Chain Management, I joined Budweiser APAC's Xiamen Business Shared Services Centre as a Solutions MT in 2019.
With a culture that encourages us to take on challenges and bring people together for a better world, I felt that my project in Demand Planning allowed me to do both. For many years, Demand Planning has relied on human hunch and some simple univariate statistical models.
However, in today's rapidly changing business environment, existing methods don't meet our requirements. Especially, the critical role of big data and artificial intelligence can't be neglected. I took on this challenge to apply cutting-edge technologies to improve our demand planning operations.
Once I took this on, we revamped the statistical modelling process parameters from considering only historical sales data to a more multivariate machine learning model that considered external and internal demand drivers such as prices, discounts, brand promotions, sales targets and holidays.
To take a process head-on and then see how we can improve it – is a core tenet of the Budweiser APAC's approach and my work with Demand Planning allowed us to make our operation more intelligent and efficient by applying cutting-edge technologies.