Job Description
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.
Skills Required
- 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 modeling, and database normalization
- Hands-on familiarity with Google BigQuery, advanced Google Sheets formulas, or cloud data warehouses
- Experience creating clean, interactive user interfaces and performance dashboards
- Basic proficiency in Python, R, or JavaScript/Google Apps Script
What We Do
It all starts here. 23 years ago, a dream took flight - shaping and forever changing the travel industry in Asia. The idea was simple: Make flying affordable for everyone. We made that dream happen. We started an airline in 2001. Today, we’ve evolved to become something much bigger. We’re now a world-class brand, a leading Asean airline, a digital travel and lifestyle platform; and we’re not stopping. If you’re passionate about connecting people and transforming lives, we want you onboard. When it comes to your career, your Allstar journey will be an adventure. Find your dream career destination with us
