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.

We are all different - one talent to another - that is how we rely on our differences. At AirAsia, you will be treated fairly and given all chances to be your best.We are committed to creating a diverse work environment and are proud to be an equal opportunity employer.

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