Supply Chain Analytics Lead

Job Description: The Supply Chain Analytics Lead supports The Company by developing and managing supply chain analytics, operational performance metrics, and cost optimization initiatives in a cGMP manufacturing environment. This role provides analytical support across Site Planning, Materials Operations, and Third-Party Logistics (3PL) operations to improve visibility, drive data-based decision making, and identify opportunities to improve service, inventory performance, and operational efficiency. Responsibilities: Supply Chain Analytics & Reporting:

• Develop, maintain, and standardize supply chain performance metrics and dashboards across Site Planning, Materials Operations, and 3PL operations.
• Analyze supply chain data to identify trends, risks, bottlenecks, and improvement opportunities impacting operational performance.
• Develop routine reporting and management review materials to support site and supply chain governance processes.
• Provide analytical support for inventory management, material flow, capacity planning, and supply chain execution activities.

KPI Development & Performance Management:

• Establish and manage key performance indicators (KPIs) for inventory, service, planning, logistics, scheduling, and operational execution.
• Maintain scorecards and performance dashboards to provide visibility into business performance and operational health.
• Analyze KPI performance trends and recommend corrective actions to address performance gaps.
• Support development of site-level performance reviews and business performance reporting.
• Identify leading indicators that enable proactive risk identification and issue escalation.

3PL & Logistics Analytics:

• Develop performance reporting and analytics related to third-party logistics providers and warehousing operations.
• Monitor logistics, storage, transportation, and inventory-related performance metrics.
• Conduct analyses to identify opportunities to improve service levels, reduce waste, and optimize logistics processes.
• Partner with internal stakeholders and external providers to improve operational visibility and reporting effectiveness.
• Support oversight of 3PL-related performance, inventory accuracy, and cost drivers.

Data Governance & Business Process Improvement:

• Partner with functional stakeholders to improve data quality, reporting consistency, and analytical capabilities.
• Support implementation and enhancement of reporting tools, dashboards, and analytics solutions.
• Identify opportunities to automate reporting processes and eliminate manual data management activities.
• Drive continuous improvement initiatives utilizing data and operational insights to improve business processes.
• Support special projects aligned with site and organizational priorities.

Requirements:

• Bachelor's degree preferred, or an equivalent combination of education and relevant experience.
• Typically requires 4 6+ years of relevant experience, depending on scope and level.
• Experience in supply chain analytics, operations analytics, planning, logistics, finance, or business intelligence preferred.
• Experience supporting manufacturing, supply chain, or logistics operations in a regulated environment is a plus.
• Experience developing executive-level reporting and performance management processes is preferred.

Knowledge, Skills, and Abilities:

• Experience in supply chain analytics, planning, logistics, materials management, manufacturing operations, or business analytics.
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable business recommendations.
• Experience developing KPIs, dashboards, scorecards, and performance reporting.
• Experience performing spend analysis, financial modeling, and cost optimization initiatives.
• Understanding of supply chain operations, inventory management, logistics, and planning processes.
• Experience working in a cGMP-regulated pharmaceutical or biotechnology environment preferred.
• Experience with ERP systems, reporting platforms, and business intelligence tools such as Power BI.
• Advanced proficiency with Microsoft Excel and strong proficiency with Microsoft PowerPoint.