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.As a Business Intelligence Data Analyst Executive , you would be empowering the organization to make data-driven decisions.
If you have a passion for working with data, generating actionable insights and communicating with people, this would be a role for you.
Develop and automate dashboards, analyses and reports to support business functions.
Collaborate with stakeholders in Operations and Sales to make data-driven decisions.
Create pipelines and queries in the data warehouse. Maintain the integrity of the data as the "single source of truth".
Assess KPIs, perform root cause analyses, create recommendations for corrective action and work with business verticals to implement them.
Be responsible for the accuracy of the calculations of these KPIs.
Identify opportunities for improving operational efficiency and sales growth.
Be the subject matter expert - the "go-to person" for all things data.
And : 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?
Passion for data
Proficiency with SQL, experience with Python, R (or other tools for statistical analysis) and data visualisation tools a plus
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.
Continuous improvement mindset
In the event that your job application or personal data was received from any third party pursuant to the purposes set out in the Notice, you warrant that such third party has been duly authorised by you to disclose your personal data to us for the purposes set out in the the Notice.