Professional certifications in data science / ML engineering / business analytics from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines, are also acceptable for the position.
Conduct deep-dive brand performance analyses to identify trends, solve business challenges, uncover growth opportunities, and provide actionable recommendations for regional brands.
Monitor solution performance, adoption, and value impact, maintaining an effective feedback loop with stakeholders to continuously improve AI products and capabilities
Experience or demonstrated capability in developing AI solutions, Copilot solutions or AI agents, preferably within Microsoft 365 or similar environments.
Develop and maintain robust data scraping and collection pipelines (web crawling, API ingestion, data wrangling) to gather competitive intelligence, market signals, and player/community data at scale.
Explore, analyse, and aggregate various types of data to provide business insights to the data team stakeholders. Create compelling story and visualisation to convey these insights. Ask right and inquisitive questions of the data to deliver analytics solution to the business.
Undergraduate currently in Year 2 or Year 3, persuing a degree in Business Analytics, Computer Science, Computer Engineering, Data Science, or a related discipline