Data Analyst (SPX Express)

Shopee • Commerce • Python • SQL • 9 days ago
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Salary
≈ $8k – $20k per year (Estimated)
Location
In office (Bangkok)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Sep 25, 2026.

Overview
Company
Impact
Profile match

Shopee

Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.
shopee.com • HQ: Singapore • Commerce • 1001-5000 employees • Est. 2015
Tech stack of Shopee
  • Analyze internal and external data (generally with SQL, Python, Excel).
  • Apply structured framework to estimate hard-to-find information and utilize AI-driven synthesis to deliver original insights.
  • Improve existing estimation and forecast solutions by scrutinizing current assumptions, identifying how our understanding would change if assumptions change, and quantifying these uncertainty (i.e. sensitivity analysis).
  • Translate complex data analysis into accessible business-focused reports and recommendations.
  • Present results to management on a regular basis.
  • Serving as in-house AI & Data consultant for data-driven solutions, advising on the adoption of AI tools to solve specific business problems..
  • Collaborate with stakeholders to build analytics capabilities.
  • Maintain data pipelines, dashboards and AI-powered automations to streamline repetitive tasks and ensure data integrity.
  • Bachelor degree or higher in a relevant field of study.
  • Minimum 2 years of experience in Business Intelligence, Data Analysis, or Data Engineering.
  • Strong SQL skills are required, complemented by experience in other languages (Python, Spark) in data analysis.
  • Strong analytical skills and must be comfortable with analysis of quantitative data.
  • Good structural thinker and detail oriented.
  • Experience working with multiple stakeholders across various divisions.
  • Satisfactory understanding in English.
  • Self-driven with willingness to learn and improve.
  • Strong sense of responsibility and ability to work in a fast-paced and growth changing environment.
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