Production Planning & Inventory Scheduler I

Daikin Applied; Staunton (VA); On-site; USD 19,000 - 31,000; Full time

Benefits offered by this job

Medical insurance

Dental & vision

401k with employer match

Paid time off

Sick time

Tuition reimbursement

Job summary

Daikin Applied in Staunton, VA is seeking a Production Planning Scheduler I to support production and inventory control, review sales orders, and coordinate with vendors for on-time delivery. This in-office role offers growth opportunities within the world’s largest HVAC company, with a focus on accurate paperwork and data-driven scheduling.

Ideal candidates have an Associate/Technical degree or equivalent experience and 0-2 years of related work.

Qualifications

• Associate degree, Technical Degree or equivalent experience.
• 0-2 years related experience.

Responsibilities

• Provide administrative support to production and inventory control functions.
• Review completed sales orders for accuracy and expedites paperwork related to sales orders.
• Contact vendors related to on-time delivery dates.
• Maintain files and records of current and potential suppliers, materials, prices, delivery dates and inventories.
• Prepare materials and supplies purchase orders, analyze quotes, and expedite deliveries and shipments as needed.
• Process change orders, notify vendors of material and quantity requirement revisions, and contact vendors regarding rate adjustments and incorrect materials.
• Provide data as requested to forecast estimates and schedules of goods in process and needs for future orders.
• Provide input to schedules, inventory reports, surplus stock lists, production specifications, and plant capacity data as requested.

Job description

Daikin Applied in Staunton, VA is seeking a Production Planning Scheduler I to support production and inventory control, review sales orders, and coordinate with vendors for on-time delivery. This in-office role offers growth opportunities within the world’s largest HVAC company, with a focus on accurate paperwork and data-driven scheduling.

Ideal candidates have an Associate/Technical degree or equivalent experience and 0-2 years of related work.