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Data Quality Specialist
1 week ago
About the Role:
We are seeking a highly skilled Data Quality Specialist to join our team at Linda Hausermann & Associates. As a key member of our data engineering group, you will be responsible for establishing and maintaining quality frameworks and analytical processes for digital services and products related projects.
Key Responsibilities:
- Quality Framework Development: Define and implement QA standards, guidelines, and SOPs for data annotation projects.
- Auditing & Reporting: Conduct regular audits to evaluate precision, recall, and annotation accuracy; produce detailed dashboards using BI tools (e.g., Power BI, Tableau).
- Continuous Improvement: Identify process gaps and work with project managers and data teams to institute corrective actions and optimize QA workflows.
- Team Support & Training: Facilitate training sessions and give actionable feedback to ensure consistent output quality.
- Analytics & Insights: Analyze quality trends and help stakeholders make data-driven decisions for resource allocation and process enhancements.
- Documentation: Keep updated records of quality audits, corrective actions, and QA processes for transparency and knowledge sharing.
Main Job Requirements:
- Education and Specific Training: Bachelor's degree in Data Analytics, Information Systems, or a related field. Additional certification or coursework in quality assurance, data analytics, or BI reporting is beneficial.
- Work Experience: Minimum of 3 years of experience in quality assurance or data analytics, preferably in data annotation, localization, or content moderation settings. Proven experience working with BI and data visualization platforms (e.g., Power BI, Tableau).
- Special Certifications (Non-Mandatory): Certifications in Six Sigma, Lean, or other quality management methodologies are advantageous.