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 Managers Job Title: EMEA Indirects Procurement Director

JOB PURPOSE

The Procurement Data & Analytics Analyst is responsible for supporting Amcors 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 Amcors 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.