> Markdown version of [/jobs/ext/3420747-data-quality-analyst-hungarian-language-specialist](https://www.wearedevelopers.com/jobs/ext/3420747-data-quality-analyst-hungarian-language-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Quality Analyst - Hungarian Language Specialist - **Company:** Manpower - **Location:** Redmond, WA, United States - **Salary:** $56,160.0 - **Contract:** Temporary to permanent - **Skills:** Microsoft Excel, Data Analysis, Spreadsheets - **Published:** September 9, 2026 - **Apply:** https://dejobs.org/x/x/226706B70B564BE998D3EB91AF97E8C2/job/ ## About the Role We're looking for a detail-oriented, self-motivated native Hungarian speaker to join our Data Quality Analytics team. In this role, you'll help improve the quality of data that powers global products by reviewing, labeling, and analyzing content in Hungarian . . You'll collaborate with cross-functional teams and play a key part in enhancing user experiences worldwide., * Fluency in Hungarian (spoken and written) is required. * Self-motivated with the ability to manage workload independently. * Excellent interpersonal and communication skills. * Strong analytical, research, and problem-solving abilities. * Proficiency in spreadsheet software (Google Sheets/Excel), including formula writing. ## Description * Author and refine guidelines for Hungarian -language data collection and quality assurance audits. * Conduct internal research studies involving Hungarian - speaking participants, including sourcing, guiding through procedures, and collecting data while maintaining confidentiality. * Perform weekly quality assurance audits of Hungarian language data collected by internal and external teams. * Compose weekly reports highlighting trends and issues specific to Hungarian -language data. * Provide ongoing feedback to collection teams to ensure high-quality Hungarian data and monitor program performance to identify best practices for data quality improvement.