Content Operations QA Analyst

RomaniaFull-TimeMiddle
Salary not disclosed
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Job Details

Languages
English
Required Skills
Artificial IntelligenceData AnalysisMicrosoft ExcelQuality AssuranceGoogle SheetsZendesk

Requirements

  • Exceptional attention to detail with a strong commitment to accuracy in high-volume, structured workflows.
  • Fluent written and spoken English for daily communication with international partners.
  • Strong proficiency in Excel and Google Sheets, with comfort handling large datasets and structured information.
  • Ability to work independently, manage cases end-to-end, and maintain accountability for outcomes.
  • Analytical mindset with the ability to identify inconsistencies and investigate root causes.
  • Strong communication skills, particularly in written form when interacting with external stakeholders.
  • Comfort working in fast-paced, process-driven environments where precision is critical.
  • Experience in logistics, freight forwarding, ocean/air cargo, or supply chain operations (bonus).
  • Familiarity with AI tools or experience building workflows that leverage automation or LLM-based systems (bonus).
  • Experience with ticketing systems such as Zendesk or similar platforms (bonus).

Responsibilities

  • Review and validate ocean freight contracts, rate sheets, and surcharge data to ensure full accuracy before publication.
  • Cross-check structured pricing information against source documentation to identify inconsistencies or errors.
  • Detect, correct, and escalate data issues within pricing workflows to maintain high data integrity standards.
  • Communicate with external vendors and partners to resolve discrepancies and ensure long-term correction of recurring issues.
  • Maintain and enrich structured master data sets related to ocean freight content.
  • Identify patterns in data errors and contribute to the continuous improvement of QA guidelines, processes, and tooling.
  • Use and optimize AI-assisted tools to accelerate quality assurance workflows and improve detection accuracy.
  • Support the refinement of internal documentation and operational standards for content quality.
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