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Job summary
Kenan Advantage Group (KAG) in Ohio is seeking a Transportation and Logistics Analyst to perform in-depth analytics, drive improvements, and support operations and carrier management. You will work with operations and vendor teams to develop insights, track SLA metrics, and implement process enhancements that boost financial performance and growth. A strong Excel/quantitative background and 2–4 years in logistics analysis are preferred.
Qualifications
Bachelor’s degree in Logistics, supply-chain or a quantitative field preferred.
Advanced Excel data handling and analysis skills.
2–4 years of logistics analysis experience.
Responsibilities
Collaborate with internal associates cross-functionally to support account management activities.
Collaborate with vendors and customers to review service level metrics and opportunities to increase value.
Concisely communicate assumptions, findings, and recommendations of analysis and business rules with internal teams and customers.
Query, collect, and analyze customer, logistics financial and operational data from multiple sources.
Perform quantitative analysis using advanced Excel, statistics, and logistics tools.
Coordinate post-event vendor selection process for procurement events.
Support and monitor service level agreements and strategic initiatives.
Maintain carrier management software solutions used to facilitate KAG Logistics business.
Skills
Advanced Excel
Data analysis
Communication skills
Cross-functional collaboration
Quantitative methods
Education
Bachelor’s degree in Logistics, supply-chain or quantitative field
Tools
Sourcing Optimizer
Job description
Kenan Advantage Group (KAG) in Ohio is seeking a Transportation and Logistics Analyst to perform in-depth analytics, drive improvements, and support operations and carrier management. You will work with operations and vendor teams to develop insights, track SLA metrics, and implement process enhancements that boost financial performance and growth. A strong Excel/quantitative background and 2–4 years in logistics analysis are preferred.