Supply Chain
1 week ago
Location: UK and Europe
Subject to Consultation
About the role
The Supply Chain & Operations Data Lead supports the performance, strategy, and improvement agenda of the Packaging division by providing timely, accurate, and actionable data analysis and insights across supply chain and operations functions. It plays a vital role in supporting the end-to-end operations strategy by turning complex data into operational insights that support service, cost, inventory, and quality goals. Position holder also owns the Divisional data tools, manages their operational processes, and engages with Sub-Regions/Countries to ensure data integrity and standards.
KEY RESPONSIBILITIES:
Own key reporting standards and definitions and ensure they are consistently used within the Packaging Division
Collect, consolidate, and analyse data from manufacturing, technical excellence, supply chain and quality systems
Develop, maintain & administrate use of dashboards and reports to track operational KPIs across plants and regions
Support monthly and quarterly performance reviews with variance analysis, benchmarking, and commentary
Conduct root cause analysis on safety trends, service failures, cost deviations, and supply chain inefficiencies
Partner with all Supply Chain and Operations functions to identify improvement opportunities, enable best-practice sharing on data analytics with Sub Regional teams
Partner with Digital team at group level to develop analytical tools to be deployed in Packaging
Build models to assess the impact of network, process, or policy changes on operations and cost
Support budgeting, forecasting, and productivity tracking processes
Develop visualisations and storytelling materials to support leadership teams in decision-making
About You
Degree in Supply Chain, Business, Engineering, Data Analytics, or related field
Advanced Excel skills required; Power BI or Tableau experience preferred
Exposure to ERP systems (SAP, Oracle, etc.) desirable
Experience in an analyst role within a supply chain, manufacturing, operations, or logistics environment
Demonstrated experience in building dashboards, reports, or models that drive business decisions
Proven ability to extract, clean, and analyse data from multiple systems (e.g. ERP, MES, WMS)
Experience supporting cross-functional stakeholders across Supply Chain and Operations
Exposure to end-to-end supply chain processes and performance metrics
Strong analytical thinking and ability to manage large data sets
High attention to detail and data integrity
Curious, proactive mindset with a problem-solving orientation
Strong communication and storytelling skills
Good understanding of manufacturing and supply chain processes, ability to explain those through use of data and metrics
Able to prioritise and manage multiple analysis requests in a fast-paced environment
Collaborative and customer-focused, with an interest in end-to-end supply chain performance.
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