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AirAsia

Intern

  • Kuala Lumpur - RedQ
  • Internship
  • Posted
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Skills

  • Data Analysis
  • Google Sheets
  • JavaScript
  • Looker
  • Operations
  • Power BI
  • Python
  • R
  • SQL
  • Scheduling
  • Tableau
  • Teamwork

Job description

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

•Data Centralization : Audit, clean, and consolidate disparate data sources scattered across regional spreadsheets, local files and departments.
•Pipeline Data Engineering : Build and optimize relational data structures using Google BigQuery or advanced Google Sheets architecture.
•Dashboard Development : Design and deploy intuitive, automated visualization dashboards using Looker Studio, Tableau, or Power BI.
•Process Automation : Write scripts (e.g., Python, Google SQL or Google Apps Script) to automate manual data extraction and scheduling tasks.
•Stakeholder Collaboration : Partner with Warehouse, Maintenance and Engineering Support Team to translate raw technical metrics into actionable departmental KPIs.

Required Qualifications

•Education : Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Data Analytics, Data Engineering, Software Engineering, or a related technical field.
•Database Skills : Strong foundational knowledge of SQL queries, data modelling, and database normalisation.
•Analytics Tools : Hands-on familiarity with Google BigQuery, advanced Google Sheets formulas (e.g., Query, ArrayFormula), or cloud data warehouses.
•Visualization : Experience creating clean, interactive user interfaces and performance dashboards.
•Programming : Basic proficiency in Python, R, or Javascript/Google Apps Script is highly preferred.

What You Will Learn & Gain

•Ownership : Direct responsibility for architectural decisions from raw data ingestion to final executive visualisation.
•Domain Expertise : Deep understanding of Airline/MRO operations, Asset and Component repair process and conversant in the Engineering support chain ecosystem.
•Mentorship : Direct guidance from experienced operations managers to help bridge the gap between academic theory and enterprise reality.