Data Analyst Intern - Product Analysis, Regional Operations (Spring 2027)

Shopee; Singapore; On-site; SGD 17,000 - 28,000; Full time

Job summary

Shopee Singapore is offering a full-time Operations Internship in Singapore. You will support data-driven initiatives across product and operations, collaborating with analytics, product, BI, and data teams to translate business questions into actionable analyses.

Responsibilities include requirements analysis, system support, release management, AI-assisted data exploration, feature prioritisation, post-launch tracking, and documenting insights for decision-making.

Qualifications

• Currently pursuing a Bachelor’s degree in a quantitative, analytical, or related discipline.
• Strong ability to break down ambiguous problems into structured questions and actionable steps.
• Comfortable working with data and learning new analytical tools; prior experience with SQL, Python, or BI tools is a plus but not mandatory.
• Curious about using AI tools to enhance analysis, efficiency, and insight quality.
• Able to explain findings clearly and logically to both technical and non-technical stakeholders.
• Adaptable, open-minded, and comfortable experimenting in a dynamic environment.
• Full-time internship availability preferred (3–6 months)

Responsibilities

• Support the team in requirements analysis, system support, and release management across regional product and operations initiatives.
• Collaborate with business and technical stakeholders to understand problem statements and translate them into analytical and product requirements.
• Apply AI-assisted analysis tools (e.g. natural language querying, insight generation, text analysis) to explore data, identify patterns, and generate first-pass insights.
• Conduct data analysis to support feature prioritisation and track post-launch performance, with guidance from senior analysts.
• Assist in testing, validating, and improving analytical workflows, dashboards, and AI-enabled tools to ensure accuracy and usability.
• Document insights, assumptions, and limitations clearly to support decision-making and knowledge sharing

Skills

Analytical thinking

SQL

Python

BI tools

Education

Bachelor’s degree in a quantitative field

Tools

AI tools

Job description

Department OperationsLevelInternshipLocationSingaporeThe Operation teams at Shopee covers the operational end-to-end process, from when the buyer searches for a product listed on the Shopee platform, to the moment the buyer receives the products. The team analyses and monitors operational KPIs across the region and conducts root cause analysis when operation performance fluctuates. The Operations team comprises Customer Service, Payment, Listings, Warehouse, Logistics, Seller Operations and Fraud.About the Team:The Product Analyst team in Regional Operations partners closely with Product, Operations, BI, and Data PM teams to support data-driven decision-making across markets. We focus on defining and interpreting key metrics, designing analytical frameworks, and translating complex data into clear, actionable insights. As part of our AI-enabled transformation, the team actively explores how AI-assisted tools can improve analytical efficiency, consistency, and impact—while maintaining strong analytical judgment and business context.Job Description:Support the team in requirements analysis, system support, and release management across regional product and operations initiativesCollaborate with business and technical stakeholders to understand problem statements and translate them into analytical and product requirementsApply AI-assisted analysis tools (e.g. natural language querying, insight generation, text analysis) to explore data, identify patterns, and generate first-pass insightsConduct data analysis to support feature prioritisation and track post-launch performance, with guidance from senior analystsAssist in testing, validating, and improving analytical workflows, dashboards, and AI-enabled tools to ensure accuracy and usabilityDocument insights, assumptions, and limitations clearly to support decision-making and knowledge sharingRequirements:Currently pursuing a Bachelor’s degree or above in a quantitative, analytical, or related disciplineStrong ability to break down ambiguous problems into structured questions and actionable stepsComfortable working with data and learning new analytical tools; prior experience with SQL, Python, or BI tools is a plus but not mandatoryCurious about using AI tools to enhance analysis, efficiency, and insight qualityAble to explain findings clearly and logically to both technical and non-technical stakeholdersAdaptable, open-minded, and comfortable experimenting in a dynamic environmentFull-time internship availability preferred (3–6 months)