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Procurement Analyst

at Amcor

EMEA - Europe - Czechia - Prague - undefined, full time

seen 4d ago

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  • Data validation
  • Power BI
  • Master data management
  • Data visualization
  • Relational databases
  • Data cleansing
  • Power Query
  • Data modelling

About the role

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.

Read from amcor.com, last seen 4d ago.

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.

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