- Constantly review and analyse supply chain data to identify opportunities to measure and improve key KPIs
- Analyse and design business processes; identify alternative solutions to exploit new technologies and automation. Develop graphical representations of business processes to facilitate understanding and decision making
- Select, tailor and implement business process improvement methods and tools at programme, project and team level
- Investigates operational requirements, problems, and opportunities, seeking effective business solutions through improvements
Data Analysis and Reporting
- Create processes and methods to automate information gathering across the value chain
- Review, streamline and automate all internal and external supply chain reports
- Develop and maintain detailed process maps of key value chain processes to assist with optimisation and simulation
- Create value utilising: Descriptive-, Diagnostic-, Predictive and Prescriptive analytics
- Transfer knowledge and insights to all business levels with effective data representation using various BI tools
- Root cause analysis of why key supply chain KPIs are not met
- Use analysis results to improve supply chain processes, performance and to reduce costs
- Assist in the planning and implementation of supply chain optimisation projects (e.g. warehouse-slotting, route planning, inventory optimisation)
- Prepare the required documentation for the IBP supply review meetings and support the process and methodology
- Develop frameworks to identify the value of implementing advanced tools and technologies within the Aspen value chain (IOT, Big data, Blockchain, Machine learning, AI)
- Support the creation of LP/MIP capability within Aspen and create the framework/Tools for data engineering, digital twin, optimisation and simulation
Background/experience
- Bachelors Degree in Engineering, Economics, Statistics or Finance
- 6 to 12 years relevant experience, preferably in planning, or analytics centre of excellence
- Experience in data management and advanced analytics
- Computer literacy with particular proficiency in optimisation, simulation and BI tools
- Data management and data engineering skills to enable optimal data process and methodology
- Expertise in Business Process Management (BPM) methodologies, techniques, and methods, including process mapping / modelling
- Expertise in advanced analytics
- Expertise in LP/MIP, optimisation and simulation
- Excellent analytical and abstraction reasoning skills, as well as problem solving ability
