Shopee (thailand) Company Limited (Bangkok, Bangkok City, Thailand)
Bangkok,
Thailand
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.
This role entails analyzing financial data for Shopee Thailand using SQL and Excel, leading P&L projections across various intervals, consolidating and analyzing SEA market performance, applying structured frameworks for insights, refining estimation and forecast solutions, and presenting actionable business-focused reports to stakeholders.
Responsibilities
• Analyze financial data (generally using SQL to obtain dataset and Excel to analyze) across business entities within Shopee Thailand
• Lead projection and P&L planning exercise at daily, monthly and yearly level - including both initiating forward outlook and formulating recommendations to hit target
• Apply structured framework to estimate hard-to-find information and deliver original insights
• Improve existing estimation and forecast solutions by scrutinizing current assumptions, identifying how our understanding would change if assumptions changed, and quantifying these uncertainty (i.e. sensitivity analysis)
• Translate complex data analysis into accessible business-focused reports and recommendations and present to stakeholders
Requirements
• Bachelor's or Master's degree in quantitative fields (Engineering, Computer Engineering, Statistics, Finance or related fields is preferred)
• 3-5 years of work experience in e-commerce, consulting, financial services or similar roles in other fast-growing industries
• Knowledge of SQL/Python/Excel is preferred but not required
• Strong analytical and problem-solving skills
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