KPI Data Analyst

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.