
SCM Data Analyst - VR/31379
Thorpe Molloy McCulloch Recruitment
- Aberdeen London
- Permanent
- Full-time
- Analysing procurement and logistics data from SAP and other SCM systems to support global reporting and performance insight.
- Transforming raw data into clear, user-friendly formats and dashboards for business use.
- Identifying trends and opportunities using data analytics and AI tools to improve operational effectiveness.
- Developing and maintaining sustainability data dashboards, covering areas such as ethics, human rights, emissions, and environment.
- Supporting the coordination and preparation of ESG disclosures for internal and external stakeholders.
- Working with Finance to monitor global payment terms and help identify improvements in cash flow management.
- Tracking productivity and performance indicators across regions and activities to support digitalisation and process improvement.
- Monitoring compliance and process deviation metrics, ensuring adherence to SCM procedures.
- Collaborating with the Data Governance team to ensure data quality, consistency, and alignment with internal standards.
- Supporting the adoption of standardised codification practices across procurement and logistics.
- Maintaining SCM catalogues in S4 Hana and guide users in correct codification of purchase orders.
- Sharing insights from cost of loss and supplier performance data to support learning and continuous improvement across the business.
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Proven experience in business analysis, ideally within a procurement or digital project environment.
- Confident working with large datasets, with proficiency in tools such as SAP and PowerBI.
- Familiarity with ESG concepts, sustainability reporting, or compliance-related data is advantageous.
- Able to present complex information clearly and effectively to a range of stakeholders.
- Collaborative and proactive, with the ability to work across disciplines and international teams.
- Experience supporting data governance, codification, or catalogue management is desirable.
- A self-starter with initiative, capable of managing multiple priorities with minimal supervision.