Senior Operation Analyst

Ninja Van is a tech-enabled logistics company on a mission to provide hassle-free delivery services for businesses of all sizes across Southeast Asia. Launched in 2014, we started operations in Singapore and have become the region's largest and fastest growing last-mile logistics company, partnering with over 35,000 merchants and delivering more than 1,000 parcels every minute across six countries. 

At our core, we are a technology company that is disrupting a massive industry with cutting-edge software and operational concepts. Powered by algorithm-based optimisation, dynamic routing, end-to-end tracking and a data-driven approach, we provide best-of-class delivery services that delight both the shippers and end customers. But we are just getting started! We have much room for improvement and many ideas that will further shape the industry.

 

About the unit: Performance Analytics Unit acts as the company's eyes and ears, gathering data on shipments, routes, and warehouse operations. The Unit analyzes data to identify areas for improvement, such as faster delivery times or reduced costs, and provide insights to optimize the entire logistics network.

 

About the job: The Performance Analytics Senior Analyst is responsible to conduct day-to-day analysis that supports the overall direction of the Performance Analytics Department. They will process data to ensure that fleet teams on the ground are equipped with the knowledge to conduct operations in the most cost effective way possible. 

The main roles of the Senior Analyst are (1) to closely communicate with the managers of the ground units their cost and operational targets and performances, (2) guide them through data analysis what is needed in order to achieve targets, and (3) working with different units to ensure smooth implementation of process changes throughout the Fleet Unit. 

 

Main Duties

• Generate insights from tight coordination with ground ops managers to determine Fleet Officers’, Riders’, and Drivers’ optimal performance level
• Build different views for respective regions of responsibility that generate new insights on how to hit cost and operational efficiency targets
• Establish benchmarks that each station should hit in order to achieve the entire region targets 
• Devise process changes and projects to improve operational efficiency for their respective areas
• Lead and manage projects such as dynamic incentive structures for the region