Procurement Analyst

Position Job Title: Procurement Analyst

BG and BU: Amcor Flexibles Europe, Middle East & Africa (AFEMEA) & Amcor Specialty Carton (ASC) – ONE Procurement

Function: Procurement

Sub-Function: Indirects - Procurement

Location: Amcor Offices Prague – CZ

Line Manager’s Job Title: EMEA Indirects Procurement Director

JOB PURPOSE

The Procurement Data & Analytics Analyst is responsible for supporting Amcor's Procurement function across AFEMEA, ASC and RPSI through advanced analytics, data visualisation, and procurement data management.

The role has a dual focus:

• Approximately 50% dedicated to developing analytics, dashboards, reports and insights that support procurement decision making and performance improvement.
• Approximately 50% dedicated to supporting category managers with data collection, cleansing, validation and analysis for sourcing events, RFQs/RFPs and category strategies, while establishing structured and sustainable data repositories.

A key objective of the role is to standardise and connect procurement data from multiple internal and external sources, creating a reliable, scalable and governed data foundation. This foundation will enable improved decision making, support master data management principles, facilitate ongoing data refreshes, and prepare procurement data for future AI-driven analysis, automation and insight generation.

JOB DIMENSIONS & SCOPE

Scope: AFEMEA, ASC and RPSI

• Supporting procurement activities across more than 150 manufacturing locations.
• Supporting multiple indirect procurement categories.
• Working with diverse data sources including multiple ERP systems, spend analytics tools, sourcing platforms, supplier databases, contract management systems and external market intelligence sources.
• Establishing and maintaining structured procurement datasets which support category management, sourcing activities, supplier performance management and procurement reporting.
• Supporting the development of procurement data standards, governance practices and master data structures.

The Procurement Data & Analytics Analyst shall become an advanced user of Amcor's procurement technologies and support the evolution of procurement data capabilities across the organisation.

Key systems may include:

• Spend analytics platforms
• Sourcing and RFx tools
• Savings tracking tools
• Supplier information and performance management systems
• ERP systems / local manual data collection
• Power BI
• Future AI, automation and advanced analytics solutions

PRINCIPAL ACCOUNTABILITIES

Analytics, Reporting & Data Visualisation (Approximately 50%)

Develop, maintain and enhance procurement dashboards, reports and visualisations using Power BI and other analytics tools.

• Deliver actionable insights to procurement leadership through analysis of spend, savings, supplier performance, compliance, risk and procurement KPIs.
• Identify trends, patterns and opportunities through advanced analytics and data modelling.
• Support predictive and prescriptive analytics initiatives where appropriate.
• Develop data visualisations that translate complex datasets into meaningful business insights.
• Create standard reporting packs and self-service analytics capabilities for procurement stakeholders.
• Develop SOPs, user guides and training materials for reporting and analytics solutions.
• Partner with IT and business stakeholders to improve data accessibility, quality and reporting capabilities.
• Category Data Management & Sourcing Support (Approximately 50%)
• Support category managers with data collection, cleansing, validation and analysis for RFQs, RFPs, negotiations and category strategy development.
• Design and maintain structured category datasets that can be refreshed, updated and reused across sourcing initiatives.
• Establish consistent data structures for specifications, product attributes, supplier information, pricing and volume data.
• Apply master data management principles to category data and ensure data consistency across procurement categories.
• Identify and develop linkages between category datasets to improve cross-category visibility and analytical capabilities.
• Support the development of common taxonomies, naming conventions and data standards across procurement.
• Create and maintain sustainable repositories of sourcing and category data that reduce duplication and manual effort.
• Drive continuous improvement of procurement data quality, governance and accessibility.
• Support future AI and automation initiatives by ensuring procurement data is structured, reliable and scalable.
• Digital Transformation & Procurement Enablement
• Support deployment and adoption of procurement technologies and digital solutions.
• Identify opportunities to automate manual processes and improve procurement efficiency.
• Support supplier enablement, data onboarding and system optimisation initiatives.
• Ensure procurement systems and data processes meet compliance, governance and audit requirements.
• Work cross-functionally to support strategic procurement projects and business priorities.

MAJOR CHALLENGES & COMPLEXITIES

Internal Relationships

• Procurement Category Managers, Regional Leads and Procurement Leadership Teams.
• Manufacturing sites and business stakeholders to collect, validate and standardise procurement data.
• Finance teams to ensure alignment of spend, savings and performance reporting.
• IT and Digital teams to integrate and govern procurement data sources.
• Cross-functional teams responsible for master data, reporting and business intelligence.

External Relationships

• Suppliers to obtain, validate and maintain accurate sourcing and specification data.
• Procurement technology providers and external data partners.
• Market intelligence and benchmarking providers where applicable.

Key Challenges

• Integrating data from multiple ERP systems, procurement tools and external sources into a consistent analytical framework.
• Establishing sustainable and scalable category data structures in environments where data quality and standards may vary significantly.
• Balancing short-term sourcing support requirements with long-term data foundation development.
• Designing procurement data models that support reporting requirements today while enabling future AI and advanced analytics capabilities.
• Driving data governance and standardisation across multiple business groups, regions and procurement categories.

SPECIFIC SKILLS & ABILITIES

• Advanced Power BI, Power Query and data modelling capabilities.
• Knowledge of procurement processes, sourcing events and category management methodologies.
• Strong understanding of relational databases, data structures and master data management concepts.
• Experience designing scalable datasets and data governance frameworks.
• Ability to structure and normalise data from multiple sources into a unified analytical model.
• Understanding of AI readiness principles, including data quality, governance, accessibility and interoperability.
• Strong stakeholder management skills with the ability to translate business requirements into practical data solutions.