Data Analytics Intern, Performance Analytics (Jan - Jun 2027)

Temasek Holdings; Singapore; Presencial; SGD 13.000 - 29.000; Jornada completa

Descripción de la vacante

Temasek Holdings in Singapore invites an intern to join the Portfolio Strategy & Risk Group. You will help build research and tracking platforms, architect data pipelines, and collaborate with tech teams to manage analytics workflows.

The role requires a 20+ week commitment, a Bachelor’s degree in a related field, and skills in Python, SQL and cloud/data tools. Strong visualization tooling knowledge is a plus. Internship offers full-time style engagement in a global firm.

Formación

• Bachelor degree in CS/engineering/business or related field.
• Proficiency in Python, R and SQL.
• Experience with AWS, S3, JFrog and Kubernetes.
• Familiarity with QlikSense, Snowflake, Tableau; Git experience helpful.

Responsabilidades

• Implement and help build research and tracking platforms with data pipelines, analytics engines and visualization tools.
• Architect and design data pipeline infrastructure to support ETL and query financial data sources.
• Collaborate with internal and external tech teams to run and operationalize platforms.
• Maintain and design in-house databases for analytics workstreams.
• Explore containers to host analytics engines and improve workflows.
• Identify improvements to automate manual processes and boost speed and scalability.

Conocimientos

Python

SQL

R

AWS

S3

Kubernetes

JFrog

QlikSense

Snowflake

Tableau

Git

Word

Excel

PowerPoint

Educación

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

Herramientas

AWS

S3

Kubernetes

JFrog

QlikSense

Snowflake

Tableau

Git

Descripción del empleo

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Location: SG, 238891

Group: Portfolio Strategy & Risk Group

Job Type: Intern

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$518 billion (US$401b, €350b, £304b, RMB2.77t) as at 31 March 2026. Our Purpose “So Every Generation Prospers” guides us to make a difference for today’s and future generations. We seek to build a resilient and forward-looking portfolio that will deliver good sustainable returns over the long term.

We have 13 offices in 9 countries around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia.

For more information on Temasek, please visit www.temasek.com.sg
For Temasek Review 2026, please visit www.temasekreview.com.sg
For Sustainability Report 2026, please visit www.temasek.com.sg/SR2026

• Implement and help build research and tracking platforms, incorporating data pipelines, analytics engines and visualization tools. Architect and design data pipeline infrastructure to facilitate data ETL processes, and query financial data from a variety of data sources


• Work with internal and external tech teams to manage and operationalize these platform


• Maintain / design our in-house databases to fulfill the needs of the various analytics workstreams / products


• Explore and develop ways/containers to house analytics engines to facilitate workflows.


• Identify and implement improvements to automate manual processes, optimize speed, efficiency, and scalability


• Set up / maintain version control for the analytics codebase


• Help with research on analytics projects which would include studying industry trends and financial markets, correlating different exogenous variables to performance.

Requirements

• Able to commit full-time for a minimum of 20 weeks. Interns who are able to commit to a full-time (5 days/week) or a minimum of part-time (4 days/week) internship is strongly preferred.


• Bachelor degree in Computer Science, Engineering, Business or related fields.


• Proficiency in Python, R, and SQL


• Experience with AWS, S3, JFrog, Kubernetes preferred


• Experience with QlikSense, Snowflake, Tableau, and Git preferred but not required


• Understanding of portfolio theory, statistics, financial modeling, and traditional financial performance metrics would be helpful but not required


• Proficiency in Microsoft Word, Excel, and PowerPoint