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South African Breweries (SAB)

Commercial Data Specialist

  • HQ Bryanston
  • Gauteng
  • Science and Research
Closing date
Not given
Reference
30104884
Source
SAB · 15 Oct 2026

About the role

The key purpose of this role is to connect, harmonise and quality-control commercial data across multiple source systems, ensuring that trusted and business-ready information is available for analytics and decision-making. The role acts as the bridge between data owners, Commercial stakeholders, Master Data and Data Technology teams to resolve issues and continuously improve data usability.

Requirements

Bachelor’s degree in Information Systems, Data Engineering, Computer Science, Business Analytics or a related field.

Minimum 2 years’ relevant experience in commercial data, analytics engineering, data quality, business intelligence or a similar field.

Strong SQL skills and practical experience working with Databricks or comparable modern data platforms.

Duties

Data Quality, Harmonisation & Automation

Collaborate with commercial stakeholders on the data requirements, needs and pain points.

Collaborate with technical stakeholders ensuring governance standards are followed ensuring long term solution quality.

Connect and reconcile data from multiple commercial sources to create a consistent view of key measures and dimensions.

Perform data quality checks, root-cause analysis and issue tracking across completeness, accuracy, consistency and timeliness.

Harmonise definitions, mappings and business rules in partnership with source owners and Master Data.

Automate repeatable quality-control, reconciliation and maintenance activities using SQL and appropriate tools.

Data Enablement & Stakeholder Coordination

Act as the messenger and coordination point between Commercial teams, source owners, Master Data and Data Technology to resolve and advance data issues.

Maintain data documentation, definitions, controls, issue logs and change records.

Provide business requirements and quality criteria for technical teams and contractors delivering datasets, semantic models or Power BI assets.

Apply a basic understanding of data pipelines, Databricks, engineering and architecture to guide delivery without owning pipeline development.

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