Supply Chain Analyst – Data & AI Focus

About the role

This early‑career position is based in Portugal and offers the chance to apply data science and AI techniques to real‑world supply chain challenges. You will work across multiple functions to turn complex data into actionable insights that improve cost, inventory, demand planning and logistics performance.

Key responsibilities

• Analyze large, complex supply‑chain datasets to identify trends, risks and cost‑saving opportunities.
• Develop predictive models and optimization algorithms using AI/ML techniques.
• Collaborate with engineering and product teams to embed analytics into supply‑chain platforms.
• Monitor KPIs and build real‑time dashboards for operational visibility.
• Support initiatives such as inventory optimisation, demand planning, logistics efficiency and supplier performance.
• Translate business challenges into analytical solutions across Supply Chain, Finance, Procurement, R&D and engineering.
• Present findings and recommendations to leadership and stakeholders.
• Contribute to broader transformation and cost‑improvement projects through data automation.

Required profile

• Bachelor's or Master's degree in Supply Chain Management, Data Science, Engineering or a related field.
• 1–3 years of relevant professional experience, academic projects or comparable hands‑on exposure to supply‑chain analytics.
• Strong understanding of supply‑chain fundamentals (procurement, logistics, inventory, demand planning).
• Analytical mindset with problem‑solving abilities.

Required skills

• Python programming.
• SQL for data extraction and manipulation.
• Data‑visualisation tools such as Tableau or Power BI.
• AI/ML frameworks like TensorFlow or PyTorch.
• Cloud platforms – AWS, Azure or Google Cloud Platform.