Supply Chain Modeler at Aspen Pharma Group

Overview

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 as well as investigates operational requirements, problems, and opportunities, seeking effective business solutions through improvements.

Responsibilities

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 Supply chain analytic Centre of excellence

• 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.

Operational Input

• 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

Future Proof our Business

• 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

Requirements

• Grade: 11

Background/experience

• 4 to 6 years’ relevant experience, preferably in planning, or analytics centre of excellence
• Experience in data management and advanced analytics
• Postgraduate degree or diploma in a relevant field

Specific job skills

• Computer literacy with particular proficiency in optimisation, simulation and BI tools

Competencies

• 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/modeling
• Expertise in advanced analytics
• Expertise in LP/MIP, optimisation and simulation
• Excellent analytical and abstraction reasoning skills, as well as problem solving ability