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Operations Performance Specialist

Exclusive opportunity

Onsite

Operations Performance Specialist

Axelon Services Corporation

Operations Performance Specialist

Skills

SQL QueriesData ScienceData VisualizationData AnalysisSAP ERPPerformance ManagementInventory ManagementSupply ChainPower BI

16 days ago

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Important information


Contract type:

Other

Salary:

$81,120 / year

Location:

Syracuse, NY, USA

Work mode:

Onsite

Published on:

8 October 2026

What they need


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.

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