Data Analytics Internby Shopee
To be confirmed
E-commerce, Internet & Online
To be confirmed
The Data team at Shopee consists of the Business Intelligence and Data Science teams. The Business Intelligence team plays a critical role in building Shopee's data platforms and conducting business-related analysis to solve business-related issues. The Data Science team prides itself in using scientific methods and hacking skills to power key business processes and elevate the business model based on a deep understanding of Shopee's business strategy. This includes machine learning, computer vision, natural language processing, and rules-based models.
Job responsibilities include:
• Conduct data collection and analysis using SQL and Python
• Automate data collection and aggregation processes to build reporting dashboards
• Collaborate with data engineers, product managers, and operation teams to provide statistics or business data that can help to drive business insights
• Major in Mathematics, Statistics, Engineering, Computer Science or related field
• Able to work with a large amount of data meticulously
• Familiar with at least one programming/scripting language, preferably Python or Spark
• Experience in data analysis and data collection required
About the Company
Shopee is the leading e-commerce platform in Southeast Asia and Taiwan. It is a platform tailored for the region, providing customers with an easy, secure and fast online shopping experience through strong payment and logistical support.
Shopee aims to continually enhance its platform and become the region’s e-commerce destination of choice via ongoing product optimisation and localised user-centered strategies.
Shopee, a Sea company, was first launched in Singapore in 2015, and has since expanded its reach to Malaysia, Thailand, Taiwan, Indonesia, Vietnam and the Philippines. Sea is a leader in digital entertainment, e-commerce and digital financial services across Greater Southeast Asia. Sea's mission is to better the lives of consumers and small businesses with technology, and is listed on the NYSE under the symbol SE.