Fleet Operations & Route Optimization Assistant

Ninja Van; Taman Desa; On-site; MYR 23,000 - 26,000; Full time

Job summary

Ninja Van Malaysia is looking for a fresh graduate to join our fast-paced operations analytics team in Johor. You will assist in daily fleet operations, help improve delivery performance, and work with the algorithms team on route optimization.

Ideal candidates are curious, data-minded, able to handle pressure and manage multiple tasks. On-site role with growth opportunities in a tech-enabled logistics company.

Qualifications

• Fresh graduates are encouraged to apply.
• No formal experience is required, though any prior experience demonstrating the ability to apply logic driven problem solving skills will be greatly advantageous.
• Ability to perform under pressure and solve problems effectively
• Ability to manage multiple tasks in a fast-paced environment
• Ability to gather data, interpret and develop process improvement

Responsibilities

• Assist in the management of daily fleet operations and monitoring driver
• Improve operational processes that directly translate into higher delivery performance metrics
• Deep dive into fleet utilization and route planning, working closely with management and in-house algorithms team to improve route optimization.
• Assist in the prioritization and planning of local fleet daily operations and flexible capacity growth strategy
• Conceive new and improved analytics models and work on existing data gathering and analytics tools, to ensure thorough visibility across the operational spectrum of parcel transportation
• Work closely with team and other departments to improve existing software across operational touch points, from Ninja Van Operator to Ninja Driver applications.
• Help to shape Ninja Van’s long term strategy and expand capabilities across Ninja’s fleets to explore new business opportunities

Job description

Ninja Van Malaysia is looking for a fresh graduate to join our fast-paced operations analytics team in Johor. You will assist in daily fleet operations, help improve delivery performance, and work with the algorithms team on route optimization.

Ideal candidates are curious, data-minded, able to handle pressure and manage multiple tasks. On-site role with growth opportunities in a tech-enabled logistics company.