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Salary
≈ $31k – $71k per year (Estimated)
Location
In office (Ho Chi Minh City)
Seniority
Senior

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

Overview
Company
Impact
Profile match
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.
  • Own complex SQL analytics: Write complex and high-performance SQL, and build pipelines that power decision-making.
  • Lead Commercial & P&L scenario modeling: Simulate Commercial & P&L outcomes, quantify trade-offs, and recommend actions with clear P&L impact.
  • Influence stakeholders: Translate data into actionable narratives; drive alignment and decisions across Business Development/Seller teams/Marketing/Finance; facilitate reviews and defend recommendations with evidence.
  • Spot and size opportunities: Identify revenue levers, cost optimizations, and operational efficiencies; estimate impact and risks.
  • Operate under pressure: Manage competing priorities, deliver to tight timelines, and maintain analytical quality and accuracy.
  • Build decision tools: Create dashboards and reports to empower stakeholders with actionable insights.
  • Uphold data quality: Define metrics, validate logic, and ensure traceability from raw data to final insights
  • 2+ years in Business Intelligence / Analytics with advanced SQL.
  • Strong Excel skills.
  • Clear communication in English and Vietnamese - able to craft concise memos and present to cross-functional leads.
  • Resilience and execution under high pressure with strong prioritization and ownerships
  • E-commerce domain knowledge (seller segments, pricing, promotions, ads, logistics costs).
  • Experience with Python/R for data wrangling, forecasting, or experiment analysis.
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