Data Quality Specialist

2 days ago


Taguig, National Capital Region, Philippines beBeeQuality Full time ₱2,500,000 - ₱3,000,000
Job Overview

We are seeking a seasoned Quality Assurance professional to drive the development of quality assurance processes and standard operating procedures, ensuring high-quality outputs.

Key Responsibilities:
  • Quality Process Development: Drive the refinement and documentation of quality assurance processes and standard operating procedures to ensure high-quality outputs.
  • Comprehensive Metrics: Establish quality metrics that align with business objectives and industry standards.
  • Workflows Review and Refinement: Continuously review and refine annotation workflows to proactively identify risks and areas to increase efficiency and reduce errors.
  • Subject Matter Expertise: Act as the subject matter expert on annotation quality, providing ongoing feedback, training, and support to annotators and project teams to uphold the highest quality standards.
Analysis & Reporting:
  • Data Analysis: Lead in-depth data analysis to diagnose quality issues, assess the effectiveness of quality strategies, and uncover root causes of recurring errors.
  • Dashboards and Reporting: Develop and maintain dashboards that provide real-time insights into quality metrics and project performance.
  • Strategic Reports: Prepare and deliver strategic quality reports to senior management and clients, articulating quality trends, risks, and improvement plans.
  • Cross-Functional Collaboration: Partner with cross-functional teams to align on project goals and quality assurance initiatives.
Operational Leadership:
  • Team Leadership: Lead a team of Data Quality Analysts and provide mentorship, training, and expertise, fostering a culture of continuous improvement and accountability.
  • Tool Management: Manage the configuration and integration of annotation and quality control tools, ensuring optimal tool performance and alignment with project requirements.
  • Innovation and Automation: Identify, evaluate, and implement innovative quality control tools and automation technologies to streamline quality control workflows, enhance analytical capabilities, and improve operational efficiency.


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