Data Analyst at Pick n Pay Stores Limited

Minimum Requirements:

• Matric, preferably with Science and Mathematics.
• A diploma, degree or relevant certification in Data Management, Data Governance, Business Analysis, Information Systems, Commerce, Supply Chain, Retail or a related field would be advantageous and beneficial, but is preferred rather than mandatory.
• Experience in retail master data, data quality, data governance, SAP, merchandise, supply chain, finance administration or related business processes.
• Business acumen in Data Governance, Data Management and retail operations.
• Practical understanding of Article, Vendor, Site, Supply Chain, DSD, UoM, barcode and GS1-related data would be advantageous.

Key Responsibilities

Data Governance

• Ensure business data definitions and standards are documented and maintained as per agreed business rules.
• Support relevant Data Owners, Master Data teams and business stakeholders to drive consistency of key data elements.
• Ensure that business data is correctly synchronised with legacy and downstream systems, where required.
• Highlight data exceptions and inconsistencies to the Data Governance Team using the SAP Report Toolkit and SAP Information Steward outputs.
• Drive consistency of key data elements and investigate discrepancies raised by the Master Data Departments.
• Investigate data issues, support root-cause analysis and report any deviations.
• Guide, lead and enforce disciplines relating to data changes.

Communication

• Ensure ongoing communication with relevant stakeholders is adhered to within required standards and agreed timelines.
• Internal
• Follow up on queries, system bugs, developments, UAT, data quality exceptions and business processes timeously and update management where required.
• External
• Liaise with GS1 and relevant external stakeholders on article issues such as barcodes, unit of measure, dimensions and article statuses per vendor, where required.

Rule Master Review

• 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.
• Review business rules via SAP Information Steward and ensure alignment with approved business requirements.
• Audit and monitor master data and communicate with relevant stakeholders on any deviations.
• Document business rules to related system rules.
• Ensure rule changes are reviewed, tested and approved with relevant business stakeholders.

SAP Information Steward Administration

• Create, delete and change rules within the SAP Information Steward system as per approved business requirement.
• Maintain business rule documentation and change history.
• Support rule testing, scheduling and exception monitoring.
• Work with IS and relevant technical teams where technical support is required.

Analytics

• Compare and analyse master data between systems (e.g. IDW and ERP), advise and assist business on any anomalies and corrective action measures.
• Analyse data to create and enhance new and existing reports.
• Identify, evaluate and solve complex business problems for area of responsibility, where data profiling / validation is carried out as per business needs.
• Act independently to identify an approach for representing business rules and data quality checks using SAP Information Steward.
• Support IS and relevant technical teams by defining business requirements for data profiling, migration, cleansing and validation activities.
• Develop and maintain data profiling rules on product, customer and transactional data using SAP Information Steward, where applicable.
• Maintain knowledge of Data Quality, Profiling and Cleansing principles.

Reports

• Run daily, weekly and monthly reports to verify that business is generating these reports effectively.
• Compile business rule reports and distribute to relevant stakeholders to ascertain if Data KPIs are met.
• Analyse report trends and recurring exceptions and recommend corrective actions.
• Monitor data quality KPIs and escalate material issues where required.

On-going projects

• Meet deliverables for projects assigned.
• Support data quality impact analysis, UAT, rule validation and post-implementation monitoring for assigned projects.

Closing Date: 9 July 2026