Business Intelligence (BI) Intern – Cross Border E-commerce (Summer 2026)

Shopee

Singapore

On-site

SGD 11,160 - 22,320

Part time

14 days+
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Job summary

Shopee in Singapore is looking for a data analyst intern to conduct thorough analysis and create insightful reports.

The role involves collaborating with stakeholders to define key performance metrics and ensuring data accuracy through proper collection and transformation. Candidates should be currently pursuing a degree in data analytics or a related field, with strong skills in Excel and SQL, and preferably Python.

Qualifications

  • Currently pursuing Bachelor's/Master's Degree in a quantitative discipline.
  • Proficient in Excel and SQL; proficiency in Python is highly desirable.
  • Data driven and detail-oriented.

Responsibilities

  • Conduct thorough analysis of internal and external data to identify trends.
  • Collaborate with teams to define key performance indicators and develop metrics.
  • Assist in data collection, cleaning, and transformation for data accuracy.
  • Provide summary tables that explain key business insights.
  • Create visually appealing reports, dashboards, and data visualisations.

Skills

Data analytics
Excel
SQL
Python

Education

Bachelor’s/Master’s Degree in data analytics, engineering, statistics, mathematics

Job description

Job Description
  • Conduct thorough analysis of internal and external data to identify trends, patterns, and opportunities for Shopee cross border business organisation
  • Collaborate with stakeholder teams to define key performance indicators (KPIs) and develop metrics that align with business objectives
  • Assist in data collection, cleaning, and transformation to ensure data accuracy and reliability
  • Provide summary tables that can explain key business insights that will lead to actionable next steps
  • Create visually appealing and insightful reports, dashboards, and data visualisations using BI tools
Requirements
  • Currently pursuing Bachelor’s/Master’s Degree in data analytics, engineering, statistics, mathematics or any other relevant quantitative discipline
  • Proficient in Excel and SQL; Proficiency in Python is highly desirable
  • Data driven and detail oriented
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