Finance Data Analyst
- LocationKuala Lumpur - RedQ
- Work typeNot stated
- EmploymentFull-time
- Posted10 November 2026
- SourceAirAsia's careers page (Workday)
Live checkFirst seen 45 min ago; still listed on AirAsia's careers page 45 min ago.
At a glance
- Skills and toolsSQL, Looker, MySQL, Excel
Read from the ad by RoleFinder, with rules and an AI reading; the description is the source.
About the role
Job Description
Job Overview:
Join the Revenue Accounting Product team within the Finance Operations Department. In this role, you will partner closely with core accounting and finance functions (General Ledger, Accounts Receivable, Intercompany, etc.) to analyze, build, and deliver reporting on airline passenger sales and revenue. You will own the full data cycle—from gathering business requirements to developing SQL queries and presenting findings to key stakeholders.
Key Responsibilities:
- Partner with cross-functional finance teams to translate complex business problems into concrete reporting requirements.
- Develop, optimize, and maintain SQL queries to extract and consolidate data across financial systems, databases, and flat files.
- Design and deliver visual dashboards and reports using tools such as Looker Studio, Excel, and CSV outputs.
- Investigate financial data discrepancies, perform root-cause analysis, and communicate actionable insights to end users.
Requirements:
- Analytical Skills: Strong problem-solving and investigative skills with a track record of executing solutions.
- SQL Proficiency: Hands-on experience writing SQL queries (Google BigQuery strongly preferred; MySQL or Microsoft SQL Server experience also welcome).
- Communication: Ability to explain data findings and report mechanics clearly to non-technical business users.
- Mindset: Positive attitude, curiosity, and a strong drive to learn finance operations.
Preferred Qualifications:
- Domain Knowledge: Understanding of Finance/ERP systems and foundational revenue accounting concepts.
- Data Integration: Experience blending data across disparate sources (e.g., ERP systems, SQL databases, CSV/Excel files).
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