AI
AirAsiaIntern
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Before you apply
LocationKuala Lumpur - RedQ
Typeinternship
SeniorityEntry
Company size10,000+ people
PostedOct 15, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Data Analytics, Data Engineering, Software Engineering, or a related technical field
Strong foundational knowledge of SQL queries, data modelling, and database normalisation
Hands-on familiarity with Google BigQuery, advanced Google Sheets formulas (e.g., Query, ArrayFormula), or cloud data warehouses
Experience creating clean, interactive user interfaces and performance dashboards
Basic proficiency in Python, R, or Javascript/Google Apps Script is highly preferred
Skills
Google BigQuery
Looker Studio
Tableau
Power BI
Python
R
Javascript
Google Apps Script
SQL
Google Sheets
About the role
Job Description
Job Posting Title: Intern, Data Analyst
Position Summary
A highly motivated Intern with a background in Computer Science, Data Science, Data Analytics, Data Engineering or Software Engineering. In this role, you will tackle a critical operational challenge: transforming disorganized, scattered production and repair logs into a highly structured, centralized data ecosystem. Your primary objective will be to design, build, and deploy automated data pipelines and advanced dashboards that provide real-time visibility to department leadership.
Key Responsibilities
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Data Centralization: Audit, clean, and consolidate disparate data sources scattered across regional spreadsheets, local files and departments.
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Pipeline Data Engineering: Build and optimize relational data structures using Google BigQuery or advanced Google Sheets architecture.
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Dashboard Development: Design and deploy intuitive, automated visualization dashboards using Looker Studio, Tableau, or Power BI.
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Process Automation: Write scripts (e.g., Python, Google SQL or Google Apps Script) to automate manual data extraction and scheduling tasks.
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Stakeholder Collaboration: Partner with Warehouse, Maintenance and Engineering Support Team to translate raw technical metrics into actionable departmental KPIs.
Required Qualifications
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Education: Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Data Analytics, Data Engineering, Software Engineering, or a related technical field.
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Database Skills: Strong foundational knowledge of SQL queries, data modelling, and database normalisation.
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Analytics Tools: Hands-on familiarity with Google BigQuery, advanced Google Sheets formulas (e.g., Query, ArrayFormula), or cloud data warehouses.
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Visualization: Experience creating clean, interactive user interfaces and performance dashboards.
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Programming: Basic proficiency in Python, R, or Javascript/Google Apps Script is highly preferred.
What You Will Learn & Gain
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Ownership: Direct responsibility for architectural decisions from raw data ingestion to final executive visualisation.
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Domain Expertise: Deep understanding of Airline/MRO operations, Asset and Component repair process and conversant in the Engineering support chain ecosystem.
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Mentorship: Direct guidance from experienced operations managers to help bridge the gap between academic theory and enterprise reality.
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