VN Ops - Business Intelligence Data Analyst

About Ninja Van

Ninja Van is on a mission to dominate e-commerce logistics in Southeast Asia. We are one of the fastest growing startups in the region - founded in mid-2014, we have already won over 6,000 merchants and deliver more than 2 million parcels a month across six countries. In Jan 2018, we raised one of the largest Series C rounds ever in Southeast Asia and are well-positioned for our next phase of rapid growth.

At our core, we are a technology company that is disrupting a massive industry with cutting-edge software and operational concepts. Driven by algorithm-based optimization, dynamic routing, end-to-end tracking and capacity balancing with partner fleets, 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.

As an Business Intelligence Executive, your main tasks:

1. Analytics (50%)

• Insights: modeling & produce actionable data
• Descriptive stats: Measure operational efficiency & cost metrics and track SLAs adherence

2. Process & Systems (30%): Improve workflow

• Suggest and recommend changes in existing system and operating processes to improve productivity and stability of the service infrastructure
• Reduce manual work
• Prepare for scaling

3. Informational (20%)

• Source of information for other teams. Answering questions like “Is there a fast way to get data about xx?”
• Query maintenance
• IT support

Requirements:

• Bachelor degree, majoring in Information Technology, Applied Science, or Engineering
• Working experience ~2 years as Business Intelligence or Business Analyst is preferable.
• Analytical Skills: Data analysts work with large amounts of numerical data: facts, figures, and number crunching. You will need to see through the data and analyze it to find conclusions.
• Critical Thinking: Data analysts must look at the numbers, trends, and data and come to new conclusions based on the findings.
• Attention to Detail: Data is precise. Data analysts have to make sure they are vigilant in their analysis to come to correct conclusions.