Order Scheduling Specialist I-III

What starts with YOU, moves the world!

Hyster-Yale Materials Handling, Inc, a world-class manufacturer of industrial lift trucks, has an outstanding opportunity for an exceptional and talented Order Scheduling Specialist I-III based at our Greenville, NC location.

What you will do:

• Manage order schedules from placement through shipment, ensuring accurate timing, sequencing, and alignment with production and delivery timelines

• Coordinate with manufacturing, planning, and logistics teams to balance production capacity, lead times, and shipment timing, using data insights to support decisions

• Process order changes (e.g., configurations, delivery dates, billing updates, and returns) while minimizing disruption to production schedules

• Monitor order status using reporting tools and dashboards, identifying and resolving issues such as delays, credit holds, or shipment misalignment

• Communicate updates clearly to internal teams and external partners, providing visibility into timelines, priorities, and exceptions

• Ensure orders are consolidated appropriately to support efficient full truckload or container shipments

• Leverage data analysis and emerging AI tools to identify trends, risks, and opportunities within order flow and scheduling performance

• Support process improvements and special projects, using data-driven insights and automation to enhance efficiency and reduce lead times
  

Level II Additions :

• Independently manage a higher volume and complexity of orders with minimal oversight

• Proactively identify risks and resolve more complex scheduling conflicts or exceptions

• Partner cross-functionally to drive alignment and contribute to process improvements

Level III Additions :

• Lead resolution of high-impact or complex scheduling issues across multiple orders or locations

• Drive continuous improvement initiatives within order management or logistics processes

• Serve as a resource to the team by supporting training, mentoring, and knowledge sharing

• Provide reporting, analysis, and recommendations to support operational decisions
  

Who you are :

• Highly organized and detail-oriented, able to manage multiple priorities with accuracy while leveraging data to maintain visibility and control

• A proactive and clear communicator who keeps stakeholders aligned, effectively conveying data-driven insights and recommendations

• Solution-oriented, with strong critical thinking and problem-solving skills supported by data analysis and structured decision-making

• Adaptable and collaborative in a fast-paced, cross-functional environment, with the ability to incorporate new technologies and AI-enabled tools into daily work

• Accountable and self-driven, with a strong sense of ownership and a focus on using data and continuous improvement practices to drive results

What you will need:

Level I:

• Bachelor’s degree with 0-1 year of experience

• Associate ’s degree with 5 years of experience

• 7-10 years of relevant experience in lieu of a degree

Level II:

• Bachelor’s degree with 1-2 years of experience

• Associate’s degree with 5 years of experience

• 7-10 years of relevant experience in lieu of a degree
  

Level III:

• Bachelor’s degree with 3–5 years of experience

• Associate’s degree with 5 - 7 years of experience

• 7 - 10 years of relevant experience in lieu of a degree
  

Skills, Experience & Abilities

• Experience with order management or ERP systems (SAP or similar), with an understanding of how system data supports analytics and decision-making

• Understanding of order scheduling, order processing, and logistics operations, including data-driven planning and forecasting approaches

• Strong analytical and problem-solving skills, with the ability to leverage data analysis tools and AI-assisted insights to resolve scheduling conflicts

• Proficiency in Microsoft Excel and standard business tools, with experience using advanced features (e.g., Power BI, Power Query, or similar analytics platforms) to interpret and visualize data

• Ability to use data and emerging AI tools to identify trends, monitor performance, and support continuous improvement initiatives

• Ability to manage and prioritize multiple deadlines and competing priorities in a fast-paced, data-driven environment

• Strong written and verbal communication skills, with the ability to translate complex data insights into clear business recommendations

• Experience supporting process improvements or operational efficiencies, ideally using data analysis, automation, or AI-enabled solutions

• Ability to work effectively across cross-functional teams, using shared data and collaborative tools to drive alignment and informed decision-making