Quality Assurance (QA) Controller

Functional Description:

As a Quality Assurance Controller, your primary responsibility will be to conduct verification, testing and reporting of data accuracy, integrity, and reliability across various research projects. You will play a crucial role in maintaining high-quality data throughout the data lifecycle, with specific focus on data collection and its output. Your efforts will directly impact the company's ability to make informed business decisions based on reliable and valid data. You will work closely with Research Management, other research teams and data analysts to establish and uphold data quality standards and best practices.

Responsibilities:

• Quality Assurance Verification: Perform daily, weekly and monthly data monitoring and quality audits to ensure accuracy, completeness, and consistency of data.
• Profiling and Monitoring: Monitor and analyse data quality metrics, proactively identify trends and patterns that may affect data integrity and take appropriate actions to address them.
• Test Execution and Defect Identification: Execute survey and application tests to verify the functionality, performance, and usability thereof.
• Quality Assurance Processes: Participate in designing of quality control processes, scripts, scorecards and quality standards.
• Documentation: Complete and maintain detailed documentation of data quality procedures, methodologies and record results and defects using appropriate protocols and systems.
• Reporting: Provide daily, weekly and monthly reports on results and defects to the Head of Research Management and other stakeholders.
• Time Management: Coordinate daily, weekly and monthly tasks and deadlines to maximize efficiency.
• Quality Improvement Initiatives: Actively pursue improvements aimed at enhancing data quality processes, technologies, and standards.
• Collaboration: Collaborate with cross-functional teams, including researchers, data analysts, IT, and business stakeholders to understand each
  project’s data and output requirements and create a comprehensive quality assurance plan and procedure.
• Quality Advocacy: Promote a culture of quality throughout the data life cycle, emphasizing the importance of quality assurance best practices.
• Issue Resolution: Proactively assist with resolving data quality issues, working with relevant teams to identify root causes and implement corrective actions.

Requirements:

• 2+ years’ experience in a data quality assurance role, in a market research or related industry.
• Strong administrative and computer literacy skills (including Zoom/MS Teams, Office Package particularly Excel).
• Strong understanding of data quality principles, data profiling techniques, and data cleansing methodologies.
• Excellent attention to detail and analytical skills, with the ability to think crit
  
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