Job Description

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

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.

Key Roles and Responsibilities:

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.

Key Attributes and Competencies:

• Demonstrated ability to reconcile data, identify quality issues and translate findings into clear remediation actions.
• Good commercial and business knowledge, with the ability to understand how source data supports decisions and processes.
• Strong stakeholder coordination, documentation and problem-solving skills.
• Working knowledge of data engineering concepts, architecture, ETL/ELT and data pipelines.
• Experience guiding the development of semantic models, Power BI datasets or business-ready data products.
• Experience with automation, data cataloguing, master data or data governance processes.
• Exposure to FMCG commercial data, customer hierarchies, product masters or route-to-market datasets.

Minimum 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.

Additional Information:

• Band: VII

SAB/AB InBev is an equal opportunity employer, and all appointments will be made in line with the SAB/AB InBev employment equity plan and talent requirements.