Data-Driven Last-Mile Route Planner — Hybrid

Jitsu, Inc.

Reno (NV)

Hybrid

USD 69,000 - 77,000

Full time

43 hours ago
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Job summary

Jitsu, Inc. is seeking a Transportation Planner to optimize last-mile delivery operations and drive cost-effective planning. The role requires data-driven decision making and collaboration with multiple teams to ensure efficient routing and on-time performance.

The hybrid position requires on-site work at least three days per week in the warehouse, with flexibility based on business needs. Strong logistics planning background and experience with route optimization are essential.

Qualifications

  • Bachelor's or associate degree in supply chain/logistics or related field.
  • 3–5 years of experience in logistics planning, focusing on last-mile delivery.
  • Proficiency with logistics software and route optimization tools; strong data analysis skills.

Responsibilities

  • Develop and implement last-mile delivery plans to optimize routes, cut costs, and improve on-time performance.
  • Monitor OTD and CPB; provide data-driven insights for operations improvements.
  • Collaborate with transportation coordinators, facility ops managers, driver services, and delivery providers.
  • Identify and address delivery inefficiencies; research and apply best practices for continuous improvement.
  • Prepare regular performance reports on KPIs and maintain SOPs for transportation planning.

Skills

Problem-solving
Communication
Collaboration
Time management

Education

Associate's or Bachelor's in SCM/Logistics/Related field

Tools

Logistics software
Route optimization tools
Google Workspace
Slack

Job description

Jitsu, Inc. is seeking a Transportation Planner to optimize last-mile delivery operations and drive cost-effective planning. The role requires data-driven decision making and collaboration with multiple teams to ensure efficient routing and on-time performance.

The hybrid position requires on-site work at least three days per week in the warehouse, with flexibility based on business needs. Strong logistics planning background and experience with route optimization are essential.

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