Data Analytics & AI Automation Intern (Shopee and SPX Express)

Shopee • English: C1 • Commerce • Python • SQL • Tableau • Power BI • Looker • Microsoft Excel • 3 hours ago
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Salary
≈ $18k – $50k per year (Estimated)
Location
In office (Bangkok)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026.

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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 • Est. 2015
  • Collect, clean, and analyze data to generate actionable business insights.
  • Develop reports and dashboards to support business monitoring and decision-making.
  • Identify manual or repetitive processes and propose automation solutions.
  • Build workflow automations using low-code/no-code platforms and AI-powered tools.
  • Support the development of internal productivity tools, dashboards, or applications.
  • Collaborate with stakeholders to understand business needs and translate them into data-driven solutions.
  • Prepare documentation and present project findings to the team.
  • Currently enrolled in 3-4-year degree program in Computer Engineering, Computer Science, Statistics, or a related technical field.
  • Strong analytical and problem-solving skills.
  • Basic knowledge of SQL for data querying.
  • Basic programming skills in Python are preferred.
  • Proficiency in Microsoft Excel or Google Sheets.
  • Familiarity with data visualization tools (e.g., Power BI, Looker Studio, Tableau) is a plus.
  • Interest in AI applications, workflow automation, or low-code/no-code platforms (e.g., n8n, Make, Power Automate) is a plus.
  • Fluent in English
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