Regional Data Analyst

Ninja Van

Job Description

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.
This Data Analyst would partner with business units, providing analytical support to help them achieve their objectives. Whether it's A/B testing product features, analysing the key drivers of operational performance or uncovering areas of cost improvement, the Data Analyst masters both the data and business domains to play a key role in decision-making.


Partner with regional stakeholders to define business and data needs
Interpret data and analyse results by employing a variety of data analytical techniques
Provide recommendations based on data insights
Design, implement and monitor KPIs
Create reports and visualization tools (dashboards) to facilitate understanding of data
Support projects across the region, being involved on the ground


Bachelors' Degree in: Computer Science, Engineering, Mathematics or Statistics
Experience in the following software: Python, SQL, R (or other tools for statistical analysis) and data visualization tools
Good understanding of analytics and computational modelling, business needs analysis, data visualization & stakeholder management
Ability to display a structured thought process
Comfortable to travel regionally on a periodic basis

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