Revenue Analytics Data Analyst (Finance Ops)

GSS AirAsia SEA Sdn. Bhd.

Kuala Lumpur

On-site

MYR 60,000 - 100,000

Full time

4 days ago
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Job summary

GSS AirAsia SEA Sdn. Bhd. invites motivated analysts to join the Revenue Accounting Product team within Finance Operations. You will partner with General Ledger, Accounts Receivable, and Intercompany teams to analyze and deliver reporting on airline passenger sales and revenue.

You will own the full data cycle, from gathering requirements to developing SQL queries and presenting findings to key stakeholders, using Looker Studio, Excel, and CSV outputs to inform business decisions.

Qualifications

  • Strong analytical problem-solving and investigative skills.
  • Hands-on SQL query experience; BigQuery preferred.
  • Good communication to explain data findings to non-technical users.
  • Positive attitude, curiosity, and willingness to learn finance operations.
  • Preferred: Finance/ERP domain knowledge.
  • Experience blending data across ERP, SQL databases, and CSV/Excel files.

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.

Skills

Analytical skills
SQL proficiency
Communication
Curiosity

Tools

Looker Studio
Excel
BigQuery
MySQL

Job description

GSS AirAsia SEA Sdn. Bhd. invites motivated analysts to join the Revenue Accounting Product team within Finance Operations. You will partner with General Ledger, Accounts Receivable, and Intercompany teams to analyze and deliver reporting on airline passenger sales and revenue.

You will own the full data cycle, from gathering requirements to developing SQL queries and presenting findings to key stakeholders, using Looker Studio, Excel, and CSV outputs to inform business decisions.

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