About the Role

EPM Scientific is partnering with a leading pharmaceutical organisation seeking a Supply Chain Analyst to support end‑to‑end planning, inventory management, and supply chain performance. This is an exciting opportunity to join a regulated and fast‑paced environment where your insights will directly support the delivery of life changing medicines to patients worldwide.

What You'll Be Doing

• Develop accurate demand forecasts using historical data, market intelligence, and cross‑functional inputs
• Support supply planning activities to ensure product availability while maintaining optimal inventory levels
• Monitor inventory performance across internal sites, CMOs, and logistics partners
• Analyse slow‑moving, expired, or at‑risk stock and recommend actionable solutions
• Build and maintain dashboards to track KPIs such as OTIF, forecast accuracy, and inventory turns
• Prepare monthly reports and insights for senior leadership
• Collaborate with suppliers, CMOs, manufacturing, and quality teams to track production and resolve bottlenecks
• Identify and support continuous improvement projects (Lean, Six Sigma, process automation)
• Ensure all supply chain processes comply with GMP/GDP and regulatory standards
• Support audits with accurate documentation, batch traceability, and data integrity

What We're Looking For

Essential Skills:

• Bachelor's degree in Supply Chain, Business, Engineering, Life Sciences, or equivalent
• Strong analytical skills and proficiency with data tools (Excel, Power BI, SQL)
• Experience working with ERP systems (SAP, Oracle, JD Edwards, etc.)
• Understanding of pharmaceutical GMP/GDP regulations
• Excellent communication and stakeholder management abilities

Preferred:

• Background in the pharmaceutical or biotech industry
• Knowledge of cold‑chain or temperature‑controlled distribution
• Experience with planning tools (SAP APO/IBP, Kinaxis, OMP)
• Lean/Six Sigma certification

Key Competencies

• Detail‑oriented with strong problem‑solving skills
• Ability to multitask and prioritise in a regulated environment
• Confident collaborating across cross‑functional teams
• Comfortable working with large datasets and complex processes