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UOB

Data Analytics Intern (6 Months)

Sorry, this job was removed at 06:16 a.m. (CST) on Tuesday, Jan 20, 2026
In-Office or Remote
21 Locations
In-Office or Remote
21 Locations

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About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description

About UOB TMRW

United Overseas Bank (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices across 19 countries. Guided by our values – Honorable, Enterprising, United, and Committed – we strive to do what is right, build for the future, and work as one team.

TMRW is UOB’s award-winning digital bank, designed for the digital generation. Launched in ASEAN, TMRW offers innovative, mobile-only banking solutions powered by AI, machine learning, and data analytics. Join us as we transform the future of banking and make it simple, transparent, and engaging.

About the Role

Are you a curious, data-driven individual eager to kickstart your career in analytics? As a Data Analytics Intern, you will gain hands-on experience across the digital data lifecycle – from data preparation and engineering support to digital analytics implementationanalysis and insights generation. You’ll work alongside experienced professionals on impactful projects in a fast-paced, collaborative environment, supporting both data and digital analytics initiatives.

What You’ll Do

  • Data Preparation & Engineering Support
    • Assist in cleaning, transforming, and validating data from various sources.
    • Support maintenance of data pipelines and ETL processes.
    • Document data sources, definitions, and processes.
  • Digital Analytics Implementation & Governance
    • Support data and digital tagging projects and initiatives
    • Support analytics implementation technical tasks:
      • Technical Specification Creation
      • Solution Configuration and Verification
      • Digital Data Testing and Validation
    • Prepare analytics documentation
    • Coordinate data defect resolution with Tech team and ensure tags standards are well-maintained.
  • Data Analysis & Reporting
    • Conduct exploratory data analysis to identify trends and patterns.
    • Develop dashboards and reports using visualization tools.
    • Create presentations translating data findings into actionable insights.
  • Insights Generation
    • Collaborate with analysts and business teams to meet analytical needs.
    • Contribute to projects on app performance, user behavior, and process optimization.
    • Identify opportunities for data-driven improvements.

What We’re Looking For

  • Education: Currently pursuing a Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Economics, Business Analytics, or related field.
  • Technical Skills:
    • Basic SQL proficiency.
    • Familiarity with Excel; exposure to Python or R is a plus.
    • Understanding of data visualization tools (e.g., QlikSense, Power BI, Tableau).
    • Exposure to digital analytics solutions and tag management tools is a plus.
  • Soft Skills:
    • Strong analytical and problem-solving abilities.
    • Excellent communication skills.
    • Proactive, curious, and eager to learn.
    • Ability to work independently and in teams.

Why Join Us?

  • Real-World Experience: Work on projects that impact business outcomes.
  • Mentorship: Learn from experienced data professionals.
  • Skill Development: Enhance technical and analytical capabilities.
  • Exposure: Understand how data drives decisions in a leading digital bank.

Additional Requirements

Develop, Engage, Execute, Strategise, University-Bachelor - Computer Science

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

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