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Quality Assurance and Analytics Lead
2 weeks ago
About the Job
We are seeking an experienced Quality Assurance and Analytics Lead to join our team at Linda Hausermann & Associates. The successful candidate will be responsible for developing and implementing quality frameworks for data projects, driving continuous improvement efforts, and collaborating with cross-functional teams.
Main Responsibilities:
- Define and implement QA standards, guidelines, and SOPs for data annotation projects.
- Conduct regular audits to evaluate precision, recall, and annotation accuracy; produce detailed dashboards using BI tools.
- Identify process gaps and work with project managers and data teams to institute corrective actions and optimize QA workflows.
- Facilitate training sessions and give actionable feedback to ensure consistent output quality.
- Analyze quality trends and help stakeholders make data-driven decisions for resource allocation and process enhancements.
Requirements and Qualifications
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.