Supply Chain Analyst - AI & Automation

Job Description

Responsibilities

• Partner with supply chain stakeholders to scope problems and translate them into structured, measurable, automated workstreams.
• Build and maintain python/SQL/Snowflake-based data models, dashboards, and self-service analytics for our global operations teams
• Help operationalize AI and agent-based solutions to automate recurring analyses, augment decision support, and supply chain processes.
• Apply statistical methods to inform data driven decisions across our global operations function.
• Manage your projects end-to-end: scoping, stakeholder alignment, data discovery, modelling, validation, and rollout.
• Translate analytical findings into compelling narratives (written, visual, and verbal) tailored to operational, business, and technical audiences.
• Define and track KPIs that measure supply chain performance and flag interventions when metrics drift.
• Contribute to ongoing improvements in data quality, documentation, and analytical standards across the team.

Requirements

• 3-5 years experience in business analytics, data analytics, or a comparable quantitative role.
• Demonstrated use of AI tools such as Claude, MS Copilot, or ChatGPT - in an analytical workflow, with a genuine appetite to develop agentic and automation capabilities in role.
• Strong python skills and hands on experience with Snowflake (or a comparable cloud data warehouse such as BigQuery, Redshift, or Databricks).
• Demonstrated project management ability, owning deliverables across multiple stakeholders and timelines.
• Solid grounding in descriptive statistics, and analytics fundamentals.
• Strong data storytelling skills: the ability to distil complexity into clear visuals and narratives that drive action.
• Supply chain domain knowledge: familiarity with demand and supply planning, inventory optimization, order management, logistics, procurement, or manufacturing operations.
• Bachelor's degree in a quantitative field (e.g., Statistics, Operations Research, Engineering, Physics, Economics, Data Science, Supply Chain, Mathematics, or related).