Procurement Analyst

Job description

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.