Officer, ULD Data Quality Assurance

Unilode Aviation

2d•Hybrid

About The Position

The ULD Data Quality Assurance Officer is responsible for improving the accuracy and integrity of customer ULD messaging across Unilode’s global network. The role involves proactive data analysis, stakeholder follow-up, and identification of root causes to reduce stock discrepancies and unreported ULDs. Through close coordination with internal teams, ground handlers, and station representatives, the officer helps safeguard Unilode’s asset visibility and contributes to service excellence and operational efficiency.

Requirements

University degree in an aviation-related field preferred.
Recent graduates are welcome; 1–2 years of aviation or operations experience is an advantage.
Willingness and ability to work in rotating shifts and hybrid work environments.
Strong Excel and Outlook skills; ability to handle data-heavy tasks with accuracy.
Strong attention to detail and ability to manage multiple tasks effectively.
Excellent time management and interpersonal communication skills.
Fluent spoken and written English; additional languages are an asset.

Nice To Haves

Understanding of IATA ULD messaging standards and dispositioning is a strong plus.

Responsibilities

Manage weekly follow-up of station-level stock discrepancies, unreported ULDs, on-loan, and interline units.
Identify and investigate missing UCM and SCM messages, following up directly with stations.
Provide discrepancy and unreported ULD reports for key stations and escalate unresolved issues.
Liaise with internal teams to request and process messaging updates.
Maintain accurate logs of all follow-ups, actions, and outcomes.
Support data validation and analysis efforts to ensure accurate ULD messaging data.
Collaborate with the Data Processing and Process & Performance Excellence teams to generate actionable KPI reports.
Present weekly on-loan and interline reports, highlighting anomalies and follow-up actions.
Maintain detailed records of recurring data discrepancy issues.
Conduct root cause analysis for messaging gaps and inaccuracies in the customer network.
Propose process improvements based on insights gained through data trends.
Carry out additional assignments as delegated by the supervisor to support departmental priorities.
Act as a team player, providing support in broader operational and quality initiatives.