Business Intelligence Analyst (AI & Data Analytics)

Shopee • Artificial Intelligence • Commerce • Bachelor's Degree • Python • SQL • Tableau • Power BI • Looker • 3 hours ago
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Salary
≈ $41k – $101k per year (Estimated)
Location
In office (Singapore)
Seniority
Junior · 1+ year exp

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

Overview
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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
  • Data analysis: Conduct in-depth analysis to identify trends, patterns, and opportunities for the Shopee cross-border business organisation
  • AI-augmented support: Support senior leads in implementing AI initiatives that drive internal productivity and predictive business modelling
  • Efficiency via AI agents: Utilise and build internal AI agents to automate repetitive data tasks and streamline team workflows
  • Smart reporting: Evolve traditional BI dashboards into intelligent dashboards by incorporating predictive features and automated insight summaries
  • Data product support: Collaborate with stakeholders to provide data support for AI-assisted simulation models and decision-support tools
  • KPI reporting: Maintain data integrity and streamline data processes to ensure accurate and timely reporting
  • Bachelor’s or Master’s degree in a quantitative field (Data Science, Analytics, Engineering, Statistics, or Mathematics)
  • Min 1 year of experience in Business Intelligence, Data Analytics, or Data Engineering; experience within e-commerce or social media is preferred
  • A demonstrated track record of using AI to improve personal or team productivity is highly desirable
  • Proficiency in SQL and Python, particularly for data manipulation and automation
  • Experience with BI tools such as Tableau, Power BI, or Google Looker Studio
  • Understanding of fundamental machine learning concepts (e.g. regression, clustering, forecasting)
  • Hands-on experience with agent-building tools or frameworks, and familiarity with LLMs (e.g. OpenAI API, Claude) and prompt engineering for data analysis is preferred
  • Comfortable working in a supporting role within a dynamic, evolving environment
  • Able to explain technical outputs and data insights to non-technical stakeholders clearly
  • Strong problem-solving skills, with the ability to identify root causes and propose practical, including AI-augmented, solutions
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