Operations Performance Specialist

Pay Rate: $39 per hour

Monday-Friday, normal office hours

Responsibilities:

• Develop analytical tools and models to evaluate manufacturing capacity, bottlenecks, constraints, and throughput opportunities.
• Create standardized methodologies for determining realistic production targets based on available labor, equipment, material availability, and operational constraints.
• Conduct capacity analysis to identify opportunities to increase output and improve resource utilization across the manufacturing network.
• Partner with plant leadership teams to develop and maintain capacity plans that support customer demand and business objectives.
• Develop reporting and performance management tools to improve service levels, reduce backlog, and support recovery actions.
• Analyze demand, production, inventory, and order fulfillment data to identify root causes impacting customer service and delivery performance.
• Monitor key performance indicators and provide data-driven recommendations to accelerate service recovery efforts.
• Support leadership teams with decision-making that improves on-time delivery, backlog reduction, schedule attainment, and production execution.
• Design, build, and maintain dashboards, scorecards, and data visualization tools using Power BI and other reporting platforms.
• Automate manual reporting processes and improve data accessibility for plant and operations leadership.
• Develop standardized operational metrics and performance measurement systems to improve consistency across plants.
• Create predictive and statistical models to support operational planning, capacity analysis, schedule attainment, and decision-making.
• Ensure the accuracy, integrity, and governance of operational data sources.
• Support the integration and utilization of SAP data across reporting and analytical tools.
• Lead initiatives to improve data quality, reporting consistency, and decision-support capabilities.
• Apply statistical analysis techniques to identify trends, variation, constraints, and improvement opportunities.
• Support continuous improvement initiatives through data collection, analysis, performance measurement, and follow-up tracking.
• Translate complex data into clear, actionable insights and recommendations for plant and operations leadership.
• Collaborate cross-functionally with Operations, Materials Management, Supply Chain, Finance, Engineering, and Continuous Improvement teams to drive measurable business results.
• Promote a culture of accountability, operational discipline, data-driven decision-making, and continuous improvement.
• Perform other operations analytics, reporting, and performance improvement duties and special projects as assigned.

Requirements:

• Bachelor’s degree from an accredited institution in Engineering, Operations Management, Supply Chain, Industrial Engineering, Business Analytics, Statistics, Data Science, or a related field.
• Minimum one year of experience in manufacturing, operations, supply chain, business analytics, data analytics, or related discipline.

Preferred Skills:

• Experience supporting manufacturing operations through data analysis, reporting, or performance improvement initiatives.
• Demonstrated success developing analytical tools that drive measurable business results.
• Advanced SAP experience, including extraction and analysis of operational and manufacturing data.
• Advanced Power BI dashboard development and data visualization skills.
• Proficiency with Minitab or equivalent statistical analysis software.
• Experience with SQL, Excel, and other business intelligence tools.
• Strong experience with manufacturing and operational data management.
• Knowledge of production planning, capacity planning, inventory management, service metrics, schedule attainment, and backlog management.
• Experience supporting continuous improvement initiatives through data collection, analysis, and performance measurement.
• Experience partnering with plant leadership, operations teams, materials management, and supply chain functions.