Analyst - Data Quality Strategy and Innovation at MTN

Responsibilities

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 

Qualifications

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