Performance Analytics Intern: Build Data Pipelines

Growth Equity Interview Guide; Singapore; On-site; SGD 20,000 - 36,000; Full time

Job summary

Temasek, a leading global investment firm based in Singapore, is offering a Data Analytics Intern position focused on performance analytics and building data platforms. You will collaborate with tech teams, design data pipelines, and help maintain analytics databases to support strategic insights.

The role emphasizes hands-on experience with modern data tools, platforms, and trends in financial markets, with opportunities to learn portfolio metrics and analytics workflows at scale.

Qualifications

• Full-time commitment for at least 20 weeks.
• Bachelor’s degree in CS, Engineering, Business, or related field.
• Proficient in Python, R, and SQL.
• Experience with AWS, S3, JFrog, and Kubernetes is a plus.
• Familiarity with QlikSense, Snowflake, Tableau, and Git preferred but not required.
• Proficient in Word, Excel, and PowerPoint.

Responsibilities

• Help build and implement research and tracking platforms.
• Collaborate with tech teams to manage and operationalize platforms.
• Maintain and design in-house databases for analytics needs.
• Explore ways to house analytics engines for better workflows.
• Identify improvements to automate processes and enhance efficiency.
• Set up version control for the analytics codebase.
• Assist with research on analytics projects and industry trends.

Skills

Python

R

SQL

Microsoft Word

Microsoft Excel

PowerPoint

Education

Bachelor’s degree in Computer Science, Engineering, Business, or related fields

Tools

AWS

S3

JFrog

Kubernetes

QlikSense

Snowflake

Tableau

Git

Job description

Temasek, a leading global investment firm based in Singapore, is offering a Data Analytics Intern position focused on performance analytics and building data platforms. You will collaborate with tech teams, design data pipelines, and help maintain analytics databases to support strategic insights.

The role emphasizes hands-on experience with modern data tools, platforms, and trends in financial markets, with opportunities to learn portfolio metrics and analytics workflows at scale.