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The Senior Data/Manual Tester plays a key role in establishing and maintaining data quality frameworks, overseeing data quality issue logs, and coordinating the design and execution of data quality validation checks. The role focuses on managing data quality outcomes and ensuring issues are tracked, prioritised, and resolved effectively. While the technical implementation of automated data quality checks within the EM Data Store is delivered by internal Data Analytics Engineers, this role works closely with data engineering teams to define requirements and guide the development of appropriate automated controls. A strong understanding of data quality principles and sufficient technical knowledge are required to collaborate effectively and ensure data quality standards are met.
Job Responsibility:
Define and maintain data quality frameworks, standards, and validation rules
Manage data quality issue logs, including prioritisation, tracking, and resolution
Design and coordinate data quality validation checks (manual and automated)
Partner with Data Analytics Engineers to define requirements for automated data quality controls
Review data quality outcomes, analyse trends, and report issues and risks
Collaborate with business and data teams to resolve data quality issues and drive improvements
Analysing test requirements, designing and producing reusable test scripts
Creating and managing test regression packs
Overcoming obstacles, such as working with the team on clarification of requirements or seeing bugs through to resolution to deliver quality testing on time
Analysing test results and updating test suites as needed to ensure accuracy and coverage
Identifying, documenting, and tracking defects to resolution while ensuring root cause analysis is conducted and preventive measures are implemented
Defining and implementing key test KPIs to ensure high quality standards are achieved
Managing key stakeholders, developing and managing ongoing relationships
Advocating for best practices in testing and quality assurance, driving continuous improvement in testing processes and outcomes
Requirements:
Strong understanding of data quality principles (accuracy, completeness, consistency, timeliness, validity)
Proven experience in data testing / data quality assurance, including manual validation techniques
Experience managing data quality issues, defect logs, and remediation workflows
Ability to define data quality rules and validation requirements for automated controls
Working knowledge of data platforms, data warehouses, and data pipelines
Ability to collaborate effectively with data engineering and analytics teams
Experience analysing data quality results and producing clear reporting and insights
Strong stakeholder engagement, communication, and prioritisation skills
Demonstrate a strong understanding of Agile methodologies
What we offer:
Competitive Salary
25 Days Annual Leave + Bank Holidays
Flexibility to work from home
10 days allocated for development training per year