Hybrid Logistics Analyst: Data-Driven Supply Optimizer

GDM Seeds; Ottawa (KS); Vor Ort; USD 70.000 - 95.000; Vollzeit

Benefits dieser Stelle

Medical, dental, and vision coverage

401(k) with company match

Generous vacation time & paid holidays

Paid parental leave

Tuition reimbursement

Zusammenfassung

GDM Seeds in Ottawa, Kansas is seeking a data-driven Logistics Analyst to optimize the distribution network, manage warehouse capacity, and analyze freight costs. You will collaborate with Finance, IT, and Operations to drive informed decisions and continuous improvement.

This onsite role requires commuting to the Ottawa site and supports cross-functional projects. The ideal candidate has strong data analytics skills, experience in logistics, and familiarity with SAP/ERP systems.

Qualifikationen

• Bachelor's degree required or equivalent work experience
• Experience in logistics or supply chain analysis preferred
• Knowledge of seed industry is a plus

Aufgaben

• Interpret logistics data to manage product transfers and meet customer needs
• Manage warehouse and network capacity to ensure continuous throughput
• Develop freight cost models and act as logistics liaison with Finance
• Collaborate with IT to resolve logistics software issues and support BI dashboards
• Monitor KPIs and implement corrective actions to improve performance
• Support contract management and cross-functional logistics projects

Kenntnisse

DOT Regulations

Data Analysis

Cross-Functional teamwork

Excel

Problem Solving

Communication

SAP

ERP systems

Ausbildung

Bachelor's degree in Logistics, Supply Chain, Finance, Accounting, or related field

Tools

SAP

ERP systems

BI platforms

Jobbeschreibung

GDM Seeds in Ottawa, Kansas is seeking a data-driven Logistics Analyst to optimize the distribution network, manage warehouse capacity, and analyze freight costs. You will collaborate with Finance, IT, and Operations to drive informed decisions and continuous improvement.

This onsite role requires commuting to the Ottawa site and supports cross-functional projects. The ideal candidate has strong data analytics skills, experience in logistics, and familiarity with SAP/ERP systems.