Attitude of Innovation, inventiveness and thought leadership

MS Office (Word, Excel, and Outlook)

Ability to establish and maintain a high level of customer trust and confidence. Strong analytical and conceptual skills.

Knowledge of modern Big Data platforms and Open Source solutions to databases, data analysis and data management.

Formulating management techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data

Perform root cause analysis of data quality issues

Data quality tools exposure – Informatica data quality is an added advantage

Exposure to Data Governance tools – AXON is an added advantage

Critical-thinking and problem-solving

Strong Communication skills

Data Analysis skills

Tactical Alignment 

• Keep abreast of global and local best practice as it relates data management
• Align all operational activities undertaken in the department to the BRIGHT strategy objectives
• Implement best practice, continuous improvement and innovation initiatives at process and procedure level

Business Requirements Analysis

• Maintain the data lineage to ensure data integrity
• Thorough understanding on data quality dimensions, understanding which data quality dimensions are to be assessed and what is the associated importance.
• Reviewing the results of data quality initiatives and determining if the data quality is acceptable.
• Performing data quality assessment checks on a regular basis to ensure users can trust the data and there’s visibility ownership and accountability
• Monitor reports for data quality to ensure the accuracy and quality of data through all upstream and downstream data channels
• Ensure there is a continuous improvement of MTN SA’s data quality posture through leading and taking an active part in all data quality-related audits
• Provide data specific technical guidance to MTN SA’s business units to ensure that data is interpreted correctly
• Provide input unto the data quality analysis process, to ensure continuous efficiency of the data quality analysis process.

Operational Delivery

• Engage with process and system owners to research and resolve the root cause(s) of enterprise data quality issues through in-depth data quality analysis and develop data quality monitoring tools
• Engage with other functions to drive and where applicable enhance the compliance of data quality management
• Monitor and evaluate information and data systems that could affect analytical results
• Monitor data quality dashboards, address data quality issues and ensure that the business is maintaining the set data quality threshold
• Assess data cleansing techniques used in the business and ensure that best practice data cleansing techniques are used
• Liaise with the relevant areas of the business to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated and well understood
• Collaborate with the relevant stakeholders, provide progress reports to Manager: MDM and Data Quality

Escalations

• Escalate complex issues that have impact on critical path of service delivery to the Manager
• Escalate issues that will result in significant time, scope, employee / customer or cost impacts if not resolved
• Contribute towards generating solutions to issues that require formal resolution
• Reporting
• Follow through the data quality analysis process and draft a report on findings and data cleansing solutions
• Prepare reports on operational performance and detailed reports on specific projects when required

Education:

• Minimum of 3-year tertiary degree in Engineering, Computer Science, BCom Information Management,Information Systems, BCom IT Management, Informatics, Bachelor of Information Science or any IT related course
• Fluent in English

Experience

• Minimum of 3 years’ experience in an area of specialisation
• Experience working in a medium to large organisation