Data Analyst III, Packaging Compliance
Pubblicato il 13-10-2026 - Commscope in Arezzo
Overview In this role you will build a reliable packaging-compliance data and reporting capability. You will transform raw data from SAP/BI, Excel, suppliers, and manufacturers into repeatable, compliant outputs with clear source-traceability. You’ll adapt data models for new jurisdictions and future requirements while ensuring quality controls.
You work with cross-functional teams to support regulatory readiness and drive data-driven improvements in packaging programs. This is a hands-on, impact-driven position with a clear focus on governance and analytics.
Responsabilità
- Extract and reconcile packaging data from SAP/BI, Excel, contract manufacturers, suppliers, and other systems.
- Create repeatable datasets and reporting workflows combining product, material, supplier, market, and packaging-component data.
- Prepare Declarations of Conformity and regulatory reports (e.g., EPR) with related analyses.
- Track new packaging regulations and translate obligations into data requirements for models and templates.
- Perform quality checks and coordinate corrections with Packaging Engineering, Operations, Procurement, IT, and external partners.
- Maintain version control, audit trails,
and supporting evidence to ensure outputs are reproducible and defensible.
- Develop dashboards to monitor completeness, deadlines, risks, and trends in packaging weights and reduction opportunities.
- Standardize templates and automate recurring work where possible without sacrificing control.
Requisiti fondamentali
- Bachelor’s degree in Engineering, Data Analytics, Information Systems, Business, Statistics or related field.
- 4+ years of data analysis, BI, reporting or master-data experience in manufacturing, supply chain, product or compliance.
- Advanced Excel skills (Power Query, pivot tables, lookups, cleansing, structured models).
- Experience with Power BI or similar tool; ability to work with SAP-derived data and large, imperfect datasets.
- Working knowledge of SQL and data transformation;
experience with automation tools for consolidating data and quality checks.
- strong analytical judgment
- attention to detail
- documentation discipline
- Advanced Excel (Power Query, pivot tables, lookups)
- Power BI or equivalent BI tool
- SAP-derived data handling