Job Description

The Logistics Operations Analytic Specialist will play a crucial role in managing data-driven projects focused on reporting, capacity utilization, inventory analysis, and collaboration with external vendors and site operations teams. Works directly with the customer and stakeholders to deliver on-time program results across the network, influence decisions through collaboration, and leadership with a customer-focused approach. The role also includes responsibility for inventory data analysis, utilization and capacity challenges, as well as continuous improvement opportunities.

Key Responsibilities:

• Build customer relationship and provide excellent customer service, understanding their needs and goals
• Identify and address issues that may impact customer satisfaction and work on solutions to improve the overall customer experience
• Identify continuous improvement opportunities identified from completing order trend and outbound performance analysis
• Conduct in-depth analysis of warehouse capacity utilization, identifying trends, bottlenecks, and provides recommendations for improvement
• Support in the development and updating of weekly reports, dashboards and presentations that provide key performance indicators (KPIs) and insights to stakeholders, particularly outbound order and transportation trends
• Build strong partnerships with 3PL (third-party logistics) vendors, ensuring data transparency and facilitating effective collaboration on capacity optimization initiatives
• Partner with Site Operations Project Managers to translate data-driven insights into actionable plans and support the execution of capacity-related projects
• Work directly with 3PLs, planning team on order prioritization
• Coordination and execution on consolidation opportunities to help increase capacity
• Tracking & monitoring inbound/outbound material moves
• Drive partner teams to stay up to date with slip code reasoning
• Aggregate slip code information to help derive meaningful insights and trends
• Continuously develop your individual knowledge of logistics trends, data analytics, and general business acumen to benefit the customer and your personal career development

Qualifications

• Bachelor's degree in Supply Chain, Data Analytic related field or equivalent experience
• 3+ years logistics, supply chain, large scale warehouse operations or related experience
• 1+ years experience with problem solving and story telling via data analysis
• Advanced in using SQL, and data visualization tools for data analysis and information sharing
• Advanced in using Google Suite tools, including Google Sheets, Excel (Lookups, tables), for data analysis
• Advanced customer service skills, including ability to listen, comprehend, effectively communicate clearly
• Intermediate project management skills, setting timelines, managing resources, and tracking progress
• Knowledge of Kaizen, Lean, Six Sigma
• Strong analytical skills with the ability to interpret complex data sets and derive actionable insights
• A proactive and results-oriented mindset, with a commitment to continuous learning and improvement
• Risk sensitive, recognizes when problems arise or are likely to arise
• Ability to work independently and as part of a cross-functional team

Additional Information

Expeditors offers competitive benefits to all full-time employees including:

• Paid vacation
• Holidays (10)
• Flexible Days (2)
• Paid Sick Time (accrual rate of 1 hour of sick time per 30 hours paid)
• 401(k) Retirement Savings Plan with employer match
• Employee Stock Purchase Plan (ESPP)
• Medical, Prescription Drug, Dental & Vision Coverage
• Health Savings Account (HSA)
• Life and Disability Insurance
• Paid Parental Leave (additional eligibility criteria)
• Dependent Care Flexible Spending Account (DC FSA)
• Employee Assistance Program (EAP)
• Training and Personnel Development Program
• Educational Assistance and Reimbursement
• Position is full time (40 hours per week) Monday through Friday

All your information will be kept confidential according to EEO guidelines.