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AirAsia

Executive, Data Analyst

AirAsia Kuala Lumpur, Kuala Lumpur, Malaysia

Airlines and Aviation · 10,001+ employees

Yesterday
data-analyst Mid (2-5 yrs) Full-time Malaysia
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About the role

The role involves monitoring flight and ancillary sales performance while developing automated dashboards to provide actionable commercial insights. You will collaborate with cross-functional teams to optimize data workflows and conduct root-cause analysis on performance anomalies.

What they look for

Data Analytics Google BigQuery Microsoft Excel Looker Studio Performance Monitoring Dashboarding Data Governance Data Cleansing Data Reconciliation Automation Business Intelligence Root-Cause Analysis Reporting Commercial Insights SQL

Requirements

Candidates must hold a bachelor's degree in a quantitative field such as Data Analytics, Computer Science, or Statistics. A minimum of 1 to 3 years of experience in commercial data analytics or business intelligence is required, with preference given to those with travel industry experience.

Full description

Job Description

Position Overview

We are looking for a proactive and detail-oriented Executive, Data Analyst to join our analytics team. In this role, you will play a key part in monitoring flight and ancillary sales performance, developing interactive dashboards, and turning raw datasets into actionable commercial insights.

You will work closely with cross-functional teams including Business, Product, and Engineering to optimize analytics workflows, automate reporting, and empower management with data-backed decision-making capabilities.

Key Responsibilities

Performance Monitoring & Dashboarding

  • Sales Analytics: Analyze flight and ancillary sales performance using Google BigQuery, Microsoft Excel, and Looker Studio to track trends, evaluate revenue drivers, and support strategic decision-making.
  • KPI Dashboard Management: Develop, deploy, and maintain dynamic, automated dashboards tracking essential commercial metrics, booking volume, and ancillary performance.

Data Governance & Pipeline Management

  • Data Cleansing & Reconciliation: Perform end-to-end data extraction, cleansing, transformation, validation, and reconciliation across disparate data sources to guarantee high data integrity and reporting accuracy.
  • Automation & Efficiency: Identify opportunities to automate manual, recurring reporting workflows, optimizing legacy analytical pipelines to improve overall reporting speed and operational efficiency.

Business Collaboration & Root-Cause Analysis

  • Cross-Functional Requirement Gathering: Partner with Business, Product, and Engineering teams to define reporting scope, translate complex business goals into scalable technical specs, and deliver reliable BI deliverables.
  • Root-Cause Investigation: Conduct thorough root-cause analysis on data discrepancies, unusual performance anomalies, and sales fluctuations, offering actionable findings and remediation steps to relevant stakeholders.

Commercial Insights & Ad-Hoc Analytics

  • Strategic Insights: Synthesize complex performance datasets into digestible management reports, clear trend assessments, and high-level summaries for senior leadership.
  • Ad-Hoc Projects: Support ad-hoc commercial queries and multi-disciplinary initiatives relating to flight route performance, ancillary bundling strategies, and market distribution channels.

Qualifications & Requirements

Education & Experience

  • Bachelor’s Degree in Data Analytics, Computer Science, Statistics, Mathematics, Economics, Information Technology, or a related quantitative field.
  • 1 to 3 years of working experience in commercial data analytics, business intelligence, or performance reporting.
  • Prior experience in the aviation, airline distribution, online travel agency (OTA), or travel tech industry is strongly preferred.

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