Data Analyst

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
• If you like wild growth and working with happy,

Additional Information

It's fun to work in a company where people truly BELIEVE in what they're doing! To support and enforce Pick n Pay's retail master data standards, common vocabulary, business rules, reports, and the use of standardised data across relevant business areas. The role is responsible for monitoring data quality, maintaining SAP Information Steward rules, identifying data exceptions, supporting root-cause analysis and working with relevant stakeholders to improve the accuracy, completeness and consistency of business-critical data. 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. C ompetencies Results Orientation Analytical Thinking Conceptual Thinking Initiative Business Mindedness Planning and Organising Team Orientation Communication Skills Attention to Detail Stakeholder Management Problem Solving

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