Executive, Business Analyst

AirAsia; Kuala Lumpur; On-site; MYR 70,000 - 90,000; Full time

Job summary

A leading airline company in Kuala Lumpur is seeking a Business Analyst to drive data-driven decisions. The role involves building data pipelines, analyzing large datasets, and creating dashboards for critical insights. The ideal candidate holds a degree in a quantitative field, has 2-3 years of experience in data roles, and possesses strong skills in SQL and Google Cloud Platform. This position offers an opportunity to collaborate in a fast-paced environment.

Qualifications

• Minimum of 2-3 years of professional experience as a Business Analyst, Data Analyst, or similar role.
• Proven experience in designing and implementing data pipelines.
• Hands-on experience with Google Cloud Platform services, especially BigQuery.
• Experience in creating and maintaining interactive dashboards using visualization tools.

Responsibilities

• Support the design, implementation, and maintenance of data flow channels.
• Define optimal solutions to data collection and warehousing.
• Assist in building scalable data pipelines to extract, transform, load, and integrate data.
• Automate the data collection and analysis processes.

Skills

SQL Query Language

Google Cloud BigQuery

Data Analysis

System Integration

Analytical Thinking

Education

Bachelor's degree in a quantitative field

Master's degree

Tools

Google Cloud Platform

Tableau

Looker Studio

Python

Job description

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• The Business Analyst supports the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable and secure manner.
• This role focuses on defining optimal solutions to data collection, processing and warehousing. He/She focuses on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights accessible through multiple platforms to improve the business.
• The Business Analyst is passionate about numbers and works with large data sets. He/She has a keenness for understanding Airline business processes and resolving challenges in order to provide solutions.

Identify Business needs:

• Identify suitable data structures based on business needs to ensure availability and accessibility of data for NMC Head to make critical business decisions/ recommendations.
• Determine technical system requirements based on data.

Build and maintain data pipeline:

• Assist in building scalable data pipelines to extract, transform, load and integrate data
• Monitor data system performance and support the handling and logging of errors
• Assist in the integration of data systems with existing infrastructure
• Automate the data collection and analysis processes, data releasing and reporting tools

Enhance and build Operation dashboard :

• SQL Query Language - Advanced
• Google Cloud BigQuery - Advanced
• Data Analysis - Advanced
• System Integration - Intermediate
• Analytical Thinking - Advanced

Required Qualifications & Skills Education: Bachelor's degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or a related discipline. A Master's degree is a plus.

Experience:

• Minimum of 2-3 years of professional experience as a Business Analyst, Data Analyst, or a similar role, with a strong focus on data-driven decision-making.
• Proven experience in designing and implementing data pipelines and ETL/ELT processes
• Hands‑on experience with Google Cloud Platform (GCP) services, especially BigQuery.
• Demonstrable experience in creating and maintaining interactive dashboards using visualization tools like Tableau or Looker Studio.
• Well verse in airline operations and schedule will be an added advantage.

Technical Proficiency:

• Expert‑level SQL skills for complex data querying, manipulation, and analysis.
• Proficiency in scripting languages like Python for data processing, automation, and analysis.
• Solid understanding of data warehousing concepts and data modeling techniques.

Soft Skills:

• Strong analytical and problem‑solving skills with the ability to translate complex data into actionable business insights.
• Excellent communication skills, both written and verbal, with the ability to present findings clearly to both technical and non‑technical stakeholders.
• A keen eye for detail and a passion for working with large datasets.
• Ability to work independently and collaboratively in a fast‑paced environment.