We are looking for an experienced analyst to support global supply chain and logistics operations through data-driven decision-making, process improvement, and digital transformation initiatives. This role works closely with cross-functional teams to enhance operational efficiency, optimize costs, and develop tools that improve business performance and visibility across the supply chain.
Key Responsibilities:
Supply Chain & Logistics Support
- Support logistics and supply chain activities by providing analytical insights and business recommendations.
- Monitor operational performance and identify opportunities to improve efficiency and reduce costs.
- Collaborate with internal stakeholders across different regions and functions to support planning and execution activities.
- Track key logistics and supply chain metrics and contribute to continuous improvement initiatives.
Digital Solutions & Process Improvement
- Develop and maintain digital tools, dashboards, and reporting solutions to support business operations.
- Automate workflows and streamline processes using modern collaboration and productivity platforms.
- Improve data quality, reporting accuracy, and accessibility of information.
- Support digitalization and transformation projects aimed at enhancing operational effectiveness.
- Analyze large datasets to identify trends, risks, and improvement opportunities.
- Create reports, dashboards, and visualizations to support decision-making.
- Develop analytical models to improve forecasting, planning, and performance monitoring.
- Explore and implement AI and advanced analytics solutions to increase productivity and business value.
Requirements:
- Bachelor's degree in Supply Chain, Engineering, Data Analytics, Business Administration, Computer Science, or a related field.
- Approximately 4-6 years of experience in supply chain, logistics, operations, analytics, or a similar business environment.
- Strong analytical and problem-solving skills, with the ability to convert data into actionable insights.
- Experience working with reporting, data visualization, and business intelligence tools.
- Advanced Excel skills and experience with data analysis platforms.
- Knowledge of process automation, digital solutions, and modern workplace technologies is highly valued.
- Familiarity with AI, machine learning, or generative AI applications is a plus.
- Strong communication and stakeholder management skills.
- Ability to work effectively in a fast-paced, international, and collaborative environment.
- Fluent English is required; additional languages are an advantage.