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Job Seekers In South Africa Who Are Searching For Careers In PBT Group , There Are Great Opportunities On PBT Group Careers Portal. PBT Group Recently Published A Notification For Hiring For Data Quality Lead, Candidates Who Are Interested And Keep Eligibility For Hiring Position. Check All Details About PBT Group Data Quality Lead Jobs. Then Apply For Data Quality Lead Jobs In PBT Group South Africa. But Before Apply Also Visit PBT Group ‘s Official Website.

PBT Group Jobs 2022 Data Quality Lead Jobs in South Africa

PBT Group Recently Published A Notification For Hiring For Data Quality Lead, Candidates Who Are Interested And Keep Eligibility For Hiring Position. Check All Details About PBT Group Data Quality Lead Job Vacancy In South Africa. Candidates who have Enough Educational Qualification And Experience can apply for PBT Group Jobs Vacancy 2022 . The Company will pay A Expected monthly salary Of ZAR 25677.00 per month after selection.

PBT Group South Africa Data Quality Lead Jobs Briefed Summary According to Official PBT Group Vacancies Portal

Hiring Agency PBT Group South Africa
Job Role Data Quality Lead
Job Location Johannesburg, Gauteng
Salary / Payout  Expected. Pay Of ZAR 25677.00 per month
Type Of Job South Africa Jobs

Detailed Job Description

Job Advert Summary:-

PBT Group has an opportunity for a Data Quality Lead to focus on driving and supporting Data & Integration to implement Data Quality Management. This includes data quality measurement & monitoring and data quality issue management & remediation.



They will be a delivery-oriented Data Quality Management professional who is able to work with stakeholders to effectively identify, remediate and manage data quality issues and incidents. This will include inputs into the effective use of our enterprise metadata repository as it relates to, and influences, data quality management. Their key focus will be the expansion of the data quality scoring scope to include all data assets for both On & Off-Platform data. The DQ Lead will be working very closely with the Data Governance Lead, who will be setting out and embedding the Data Management Principles, Data Governance Framework and Data Standards, that will lay a foundation for the Data Quality Management stream.



In this role, the lead will be required to work across multiple business units and building and maintaining strong relationships. They will use their ability to influence and support a diverse set of stakeholder groups to effectively manage their Data Quality issues and incidents, contribute to the identification and remediation of enterprise level issues, and guide the client on what they need to do to establish good data quality management practices within their business. This includes measuring and monitoring data quality effectively. Improve profitability by supporting the IT Strategy through necessary interventions.




  • Chair the enterprise Data Quality Working Group
  • Drive the establishment of data quality measurement and monitoring
  • Lead preparation of business groups to effectively implement data quality measurement practices utilising Informatica IDQ
  • Lead the business support of the IDQ platform
  • Drive Data Quality Issue Management involving:
    • leveraging and, where necessary, uplifting the artefacts in place today to set clear “how to” guidance on good data quality management practices
    • highlight the impact of poor-quality data, from a regulatory, compliance, finance and reputation perspective
    • supporting the teams to implement the necessary structure within their businesses to implement effective data quality issue management
    • ensuring data quality rules are captured within the enterprise repository
  • Manage data quality issues
  • Ensure accurate, monthly, Data Quality reporting is produced to give visibility to Data Governance Council and Data Stewards Forum on data quality issues
  • Analyse data quality issues, facilitating the determination of issue impact, root cause and solution options
  • Lead Data Management Data Quality team
  • Lead the Data Quality Program
  • Oversee the design and delivery of data integrity specific reports and insights that analyzes and provides a view of the quality of data
  • Support all data streams within Data & Integration, by identifying anomalies across the data landscape
  • Provide quality assurance of imported data
  • Organize and drive successful completion of data insight initiatives through effective management and collaboration with key stakeholders
  • Communicate results and business impacts of insight initiatives to stakeholders
  • Locate and define new process improvement opportunities relating to data analytics




  • 5+ years’ experience working in Data Management Practices, particularly in Data Quality
  • Experience working with business and technical project stakeholders to translate business requirements into data requirements
  • Experience in data management and a passion for driving value through data
  • Experience defining data quality rules / business rules / validation/ data controls
  • An analytical mind and inclination for problem-solving
  • Ability to work on multiple projects in parallel
  • Ability to work in an agile methodology
  • Analytical Skills: Work with large amounts of data: facts, figures, and number crunching
  • Communication Skills: Present findings or translate the data into an understandable document. Write and speak clearly, easily communicating complex ideas
  • Critical Thinking: Must look at the numbers, trends, and data and come to new conclusions based on the findings.
  • Attention to Detail: Data is precise. Vigilant in analysis to come to correct conclusions
  • Solid Short-term insurance business knowledge
  • Ability to produce solutions using:
    • Microsoft Azure packages
    • Exposure to the Cloud environment
    • Microsoft Excel (Power Pivot, Power Query)
    • Microsoft SQL Integration Services
    • Microsoft SQL Analysis Services
    • Microsoft SQL Reporting Services
    • Microsoft Data Quality Services (or any data quality tool)
    • Microsoft PowerBI
    • QlikView
    • MS Office
    • MS Visio
    • SSRS
    • SSIS

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