Job Description

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities - plus the chance to work alongside some of the sector's most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We're passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.



To ensure that data complies with the relevant profiling criteria (regulatory and business rules) and that it can be applied uniformly across the various partner systems through the development of appropriate technical solutions. To curate all data on the chosen master system (i.e. SAP master file).

Implements, monitors and maintains a comprehensive operational plan, rules, methodologies and initiatives for the Data Profiling capability within EIM. Ensures that regular data extraction and profiling for the customer domain is done in order to inform the data quality level for PBB SA.

Provides input into profiling infrastructure requirements and monitors the implementation thereof through the bank's infrastructure development processes, including the management of User Acceptance Testing (UAT). Influences the ideation process of profiling and remediation related initiatives and processes in order to drive data integrity in province and business.

Qualifications

Minimum Qualifications

• Bachelor's Degree in Information Studies

• 5-7 Years Personal and Business Banking; Experience in technical business intelligence; understanding of the banks data processes, systems, and products. Knowledge of IT infrastructure and data principles that form the basis for data quality management. Exposure to governance and regulatory matters as it relates to data. Proficiency in ETL and data-warehousing. Experience in structured and unstructured query languages e.g. SQL IBM data-stage, SAS Python, etc.

• Interpreting Data
• Providing Insights
• Making Decisions
• Developing Strategies
• Developing Expertise

• Analytical
• Management/Business Intelligence
• Data Development (ETL)

Standard Bank