Process & Data Analyst in Supply Chain Optimisation at RS Group. Analyzing and improving processes and data across the global supply chain.
Responsibilities
Analyse and document current (“as-is”) supply chain processes, identifying risks, challenges, and areas for improvement.
Extract and interpret data from multiple systems to complement process analysis and validate improvement proposals.
Design and present future-state (“to-be”) process and data models using recognised formats (e.g., BPMN) and tools.
Visualise and communicate findings clearly to champion process improvements across global teams.
Create and maintain functional and non-functional requirements for technology changes, ensuring alignment with business objectives.
Support integration and continuity of key systems (e.g., DTP calculator), acting as backup for the product owner when needed.
Liaise with central SAP teams and external partners on change requests and testing.
Maintain a knowledge repository including process models, data dictionaries, business rules, and acronyms for clarity and consistency.
Collaborate with cross-functional teams—Customer Service, Inventory, Product & Supplier Management, Digital, Technology, and Operations—to harmonise processes and data globally.
Share best practices and outputs across the RS Group to drive standardisation and efficiency.
Support training and business change initiatives related to supply chain optimisation.
Requirements
Strong analytical and problem-solving skills with experience in process improvement and data modelling.
Ability to work collaboratively across global teams and cultures.
Excellent communication and presentation skills to engage stakeholders at all levels.
Familiarity with recognised process modelling tools and techniques (e.g., BPMN).
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