KPI Data Analyst

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 drive operational excellence across the Supply organisation by transforming complex operational data into actionable insights that support strategic decision-making. The role sits at the intersection of data, performance management and business strategy, enabling informed decisions across breweries, logistics, procurement, engineering and Supply leadership teams.

Key Roles and Responsibilities:

Supply Performance Management

• Own the governance and reporting of key Supply KPIs across the Zone.

• Consolidate performance data from multiple systems and sources.

• Monitor operational performance and identify emerging risks and opportunities.

• Ensure data integrity and consistency across reporting processes.

• Support monthly, quarterly and annual business performance reviews.

• Track performance against strategic targets and business commitments.

Operational Analytics & Insights

• Analyse performance trends across manufacturing, logistics, procurement and engineering functions.

• Perform root-cause analysis to identify drivers of performance gaps.

• Translate complex datasets into actionable recommendations.

• Proactively identify improvement opportunities and quantify potential benefits.

• Support productivity, cost-saving and continuous improvement initiatives.

• Develop predictive and forward-looking insights where appropriate.

Dashboarding & Automation

• Develop and maintain Power BI dashboards and self-service reporting tools.

• Improve visibility of operational performance through effective visualisation.

• Drive automation of manual reporting processes.

• Simplify reporting and reduce administrative burden for stakeholders.

• Continuously enhance reporting solutions based on business needs.

Strategic Business Support

• Support strategic projects through analytical modelling and scenario analysis.

Data Quality & Governance

• Drive discipline around KPI definitions and reporting standards.

• Establish controls to improve data quality and transparency.

• Identify inconsistencies and drive corrective action with stakeholders.

• Promote a culture of fact-based decision making across the organisation.

Minimum Requirements:

• Bachelor’s degree in data Analytics, Industrial Engineering, Statistics, Mathematics, Computer Science, Supply Chain Management, Finance, Business Analytics or a related field.

• 3–5 years’ experience in business intelligence, data analytics, performance management, supply chain analytics, manufacturing analytics or operational reporting.

• Experience working with large datasets and converting data into practical business insights.

• Experience engaging with both technical and non-technical stakeholders.

Technical & Professional Skills

• Advanced Power BI, including dashboard development and data modelling.

• Advanced Microsoft Excel.

• Strong knowledge of DAX and Power Query.

• SQL experience.

• Strong data visualisation and storytelling capability.

Advantageous

• SAP experience.

• Experience within fast-moving consumer goods, manufacturing or supply chain environments.

• Python, R or other analytical programming languages.

• Experience with automation tools and digital solutions.

Additional Information:

• Band: VII

ABInBev is an equal opportunity employer, and all appointments will be made in line with ABInBev employment equity plan and talent requirements. The advert has minimum requirements listed. Management reserves the right to use additional/ relevant information as criteria for short-listing.