Pick n Pay Stores Limited, through its subsidiaries and associates, operates in the retail sector on the African continent.
Pick n Pay is the quintessential family store focused on the customer. Since 1967 when consumer champion Raymond Ackerman purchased the first few stores, the Ackerman family’s vision has grown and expanded to now encompass stores in ...
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Diploma / Degree in IT/Data Analytics related qualification
Good understanding of business data relationships
Technical understanding of systems (SAP Information Steward)
2 to 3 years experience in analysing data and dependent processes and reporting
Advanced Excel Skills
SQL and Programming background
Competencies
Attention to Detail
Analystical Thinking
Planning and Organising
Team Orientation
Good Communication Skills
Results Orientated
Business Mindedness
Conceptual Thining
Sense of urgency
Key responsibilities
Ensure business data definitions and standards are documented and maintained.
Ensure that the business data is correctly synchronised with legacy systems, where required.
Highlight data exceptions and inconsistencies to the Data Governance Team using the SAP Report Toolkit and SAP Information steward.
Drive consistency of key data elements and investigate discrepancies raised by the Master Data Management Department.
Co-ordinate and monitor agreed logistics and purchasing Article data for all Regions, to ensure that they correlate to Pick n Pay processes and standards.
Audit and monitor master data and communicate with the relevant stakeholders on any deviations.
Compare and analysis master data between systems advise and assist business on any anomalies and corrective action measures.
Compile business rule reports and distribute relevant stakeholders to ascertain if Data KPI’s are met.
Partner with technology and business partners to support SAP Information steward use cases, within the context of data governance
Participate in change initiatives to ensure that the introduction of undesirable impacts to data definition, maintenance, quality and/or consumption are minimized
Ensure data is compliant with defined standards, policies and quality requirements
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