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Shopee

Data Analyst Intern - Regional BI & Planning (Fall 2026)

Shopee

Singapore ・ パートタイム

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投稿済み
1週間前
作業モード
在任中
教育
Bachelor's degree or higher
資格
Current students pursuing a Bachelor's degree or higher, especially those studying Data Science and Analytics, Business Analytics, Mathematics, Statistics, Engineering, Computer Science, or a similar field. Candidates with a strong interest in data analysis and the ability to manage large datasets…
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仕事内容

Team overview

The Regional BI & Planning Data Analytics team focuses on building reliable, end-to-end data capabilities for the wider business. In addition to producing analysis, the team develops scalable data models, forecasting approaches, and insights powered by data science to improve planning, sharpen decisions, and support stronger business outcomes.

The team works closely with finance, business, product, and engineering partners to create solid data foundations and deliver solutions that are practical, scalable, and aligned with real operational needs. Its work ranges from ongoing performance tracking to deeper strategic analysis, helping the organisation gain clearer visibility, make faster decisions, and plan for sustainable growth.

What you will do

  • Gather, process, and analyse data using SQL and Python.
  • Streamline data collection and aggregation workflows to support reporting dashboards.
  • Work with data engineers, product managers, and operations teams to provide statistics and business data that support actionable insights.
  • Contribute to analytical modelling tasks when needed to improve business understanding.

What we are looking for

  • A current undergraduate or postgraduate student, ideally majoring in Data Science and Analytics, Business Analytics, Mathematics, Statistics, Engineering, Computer Science, or a related discipline.
  • Strong attention to detail and the ability to handle large datasets carefully.
  • Comfort with at least one programming or scripting language, with Python or Spark preferred.
  • Prior experience in data analysis and data collection.
  • Preference for candidates available for full-time internship arrangements.

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