Supply Chain Analyst

About the role

This early‑career position is based in Chile and offers a chance to apply data science and technology to real‑world supply chain challenges. You will work with cross‑functional teams to turn complex data into actionable insights that improve operational 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 key performance indicators and build real‑time dashboards.
• Support initiatives such as inventory optimisation, demand planning, logistics efficiency, procurement 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 automation and data‑driven techniques.

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 analytical and problem‑solving abilities with attention to detail.
• Solid understanding of supply‑chain fundamentals such as procurement, logistics, inventory management and demand planning.

Required skills

• Python
• SQL
• Data‑visualisation tools (Tableau or Power BI)
• AI/ML frameworks (TensorFlow or PyTorch)
• Cloud platforms (AWS, Azure or GCP)