Network & Capacity Analyst

Network & Capacity Analyst

Location: Remote

Reports To: Director, Supply & Network Planning

Role Overview

Owns the modeling, analytics, and forward-looking insights that enable effective supply planning decisions. This role is responsible for capacity visibility, bottleneck identification, safety stock and inventory policy development, and network optimization. The Network & Capacity Analyst sets the guardrails that Supply Planners operate within and plays a critical role in supporting S&OP by providing clear, data-driven insights on risks, constraints, and trade-offs.

Key Responsibilities

Capacity Planning & Bottleneck Management

• Develop and maintain capacity models across internal and external manufacturing partners
• Provide forward-looking visibility into capacity utilization and constraints (3–18 month horizon)
• Identify bottlenecks across production, materials, and network flows
• Quantify impact of constraints and support mitigation strategies
• Continuously refine capacity assumptions based on actual performance

Inventory & Safety Stock Strategy

• Own safety stock modeling and inventory policy development across finished goods, base and materials
• Define inputs including variability, service levels, and lead times
• Continuously refine inventory parameters based on performance and changing business needs
• Provide clear guardrails for Supply Planners to execute against
• Ensure alignment between inventory strategy and working capital targets
• Define and maintain planning parameters (safety stock, lead times, constraints) in partnership with the Director

S&OP Supply Review Support

• Develop content and insights for supply review in S&OP
• Highlight capacity risks, bottlenecks, and inventory gaps
• Run scenario analysis to support decision making
• Quantify trade-offs across service, cost, and inventory
• Translate complex analysis into clear, actionable recommendations

Supply Chain Tools, Data & Analytics

• Develop a clear understanding of current supply chain tools, files, and data flows across planning, procurement, and operations
• Document how data moves today (inputs, outputs, and key dependencies across systems and manual processes)
• Identify gaps, inefficiencies, and duplicate work across tools and reporting, and support efforts to streamline tools and simplify processes
• Improve data visibility, accuracy, and consistency across systems and reporting
• Develop dashboards and analytics to track key supply chain KPIs across service, cost, and inventory
• Identify trends, risks, and opportunities, translating data into actionable insights
• Support cross-functional initiatives with data-driven analysis and reporting

Network & Deployment Optimization

• Analyze distribution network performance including DC placement and flows
• Develop deployment logic and optimization recommendations
• Model total delivered cost across manufacturing, transportation, and storage
• Support network design and footprint optimization decisions
• Partner with Logistics to align network strategy with execution realities

Qualifications

• 2–5 years of experience in supply chain analytics, planning, or related role
• Strong Excel and data modeling skills (required)
• Experience with ERP and data visualization tools (NetSuite, SAP, Tableau, etc.)
• Strong analytical mindset with ability to translate data into business insights
• Experience in CPG or food & beverage preferred

What Success Looks Like

• Capacity constraints are identified early with clear mitigation paths
• Safety stock and inventory policies are data-driven and effective
• Supply Planners operate within clear, optimized guardrails
• S&OP supply review is supported with clear, actionable insights
• Analytics drive better decisions across supply chain
• Supply chain data and tools are clearly mapped, with improved visibility and reduced manual/duplicative work

Leadership Profile

• Highly analytical and structured thinker
• Translates complexity into clear insights
• Proactive and forward-looking
• Strong collaborator and influencer (without direct authority)
• Continuously improves data, tools, and models