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 understanding of data quality principles, data profiling techniques, and data cleansing methodologies.
• Degree in a relevant field (e.g., Statistics, Business Analytics, Computer Science, Research) advantageous.
• Familiarity with data visualization and reporting tools (e.g. Power BI) for communicating data quality metrics, advantageous.

Please consider your application unsuccessful should you not receive a response within 2 weeks of applying.