Operations Optimization Analyst

Position summary

Critical job functions

• Analyze manufacturing, supply-chain, ERP, inventory, purchasing, order-fulfillment, and capacity data for trends, constraints, root causes, risks, and improvement opportunities.
• Develop and maintain KPIs, dashboards, scorecards, datasets, and reporting tools for operational performance.
• Collect, cleanse, validate, integrate, and analyze data from ERP, spreadsheets, databases, and other systems.
• Use visualization, statistical and trend analysis, and exception reporting to identify performance gaps and forecast risks.
• Evaluate demand, usage, lead times, capacity, and variability to recommend inventory levels, stocking targets, reorder points, and safety stock.
• Maintain, audit, and improve ERP planning data, including order points, lead times, item settings, capacity assumptions, and routing standards.
• Develop capacity models and recommend capacity limits, labor assumptions, production constraints, and scenario plans.
• Identify improvements to service, throughput, material flow, labor and asset utilization, and cost efficiency.
• Partner with Manufacturing, Supply Chain, Engineering, Finance, and Operations leaders on recommendations, implementation plans, and follow-up.

Additional functions

• Study reporting, analytics, ERP, business intelligence, database, and planning tools to improve visibility and operational effectiveness.
• Build models, queries, and datasets to assess staffing, production output, inventory, supplier constraints, capacity, and cost tradeoffs.
• Communicate findings through dashboards, visualizations, written summaries, presentations, and working sessions.
• Stay current on manufacturing processes, supply-chain workflows, ERP master data, planning logic, reporting structures, and business objectives.
• Apply structured problem-solving, data validation, and continuous-improvement methods.

Role capabilities

• Analyze operational data and translate findings into actionable recommendations.
• Develop reporting tools, models, queries, datasets, and planning insights.
• Communicate findings clearly across employee, manager, and senior-leader audiences.
• Apply data validation, structured problem-solving, and continuous-improvement methods.

Safety and culture