Quality Assurance & Analytics Specialist

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.

Requirements:

• Bachelors degree in Data Analytics, Information Systems, or a related field.
• Additional certification or coursework in quality assurance, data analytics, or BI reporting is beneficial.
• 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.

Skills:

• Proficiency in BI tools (Power BI, Tableau) for data visualization and KPI tracking.
• Strong analytical ability and familiarity with SQL or similar querying languages.
• Basic scripting (Python) for automating quality checks (preferred).
• Understanding of QA frameworks, data governance, and continuous improvement practices.