Job Description
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Kindly scroll to the bottom of this page and complete the short VinUni Tracking Form.
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Key Responsibilities:
· Support the development and visualization of IT Key Risk Indicator (KRI) dashboards using BI tools (e.g., Tableau), including data connection, layout design and visual formatting across multiple reporting levels
· Assist in data preparation, cleansing and transformation activities to support dashboard development and KRI implementation
· Write and execute SQL queries to extract, validate and reconcile data from various sources
· Translate and localize project deliverables and documentation between English and Vietnamese, ensuring accuracy of both language and technical terminology
· Assist in preparing project documentation, including weekly/monthly progress reports, meeting minutes and status updates
· Support project coordination activities such as scheduling, tracking action items and maintaining project trackers
Requirements:
Education
· Final-year undergraduate or recent graduate in Information Technology, Data Science, Computer Science, Information Systems, Finance, Banking or related disciplines
Technical Skills
· Foundational knowledge of at least one BI/data visualization tool (Tableau preferred; Power BI also accepted). Demonstrated ability through coursework, personal projects or competitions is sufficient
· Basic to intermediate SQL proficiency (SELECT, JOIN, GROUP BY, subqueries). Exposure through academic coursework or self-study is acceptable
· Proficient in Microsoft Office, particularly Excel (pivot tables, VLOOKUP/XLOOKUP, basic data analysis), Word and PowerPoint
Language
· Strong English communication skills, especially reading comprehension and writing/translation. IELTS 6.5+ or equivalent is preferred
Soft Skills & Attitude
· Detail-oriented with strong organizational skills and a structured approach to work
· Punctual, dependable and committed to full-time availability throughout the internship period
· Proactive learner with a genuine willingness to pick up new tools, concepts and domain knowledge
· Comfortable working both independently and collaboratively in a fast-paced, client-facing project environment
Nice-to-have
· Exposure to IT risk management, IT governance or cybersecurity concepts (academic or self-study)
· Familiarity with data processing using Python (pandas, numpy) or other scripting tools
· Prior internship or project experience in banking, fintech or consulting environments
· An eye for design and data storytelling - ability to present data in a clear, visually compelling manner
· Knowledge of ETL concepts or experience working with data pipelines

