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.
Job Descriptions:
- 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.
- Data Analysts will discuss with the Head of BI to assess if the project is viable. If the Head of BI deems it is not viable, Data Analysts will go back to stakeholders and postpone/reject the project / give them other alternatives.
- KPIs: Stakeholder peer review takes a big portion of it. Stakeholders will review:- Speed data & Accuracy
- Stakeholder satisfaction of whole experience with BI (e.g., whether Data Analysts pointed them in the right direction / gave suitable recommendations to help stakeholders make right decisions)"
- Decision making: - For new situations (e.g., new data requirements that do not exist in current platforms), need to escalate to the Head of BI to make the decision. For repeated situations (e.g., data already deemed to not exist / previous reports that were already done before), Data Analysts can make the decisions themselves”.
Requirements :
- Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, or any other relevant STEM degrees.
- Experience in analytics and process improvement-related initiatives is preferred but not a must.
- Minimum basic to intermediate SQL competency is a MUST.
- Experience with statistical analysis tools and data visualization tools is a plus.
- Naturally curious and have excellent analytical and problem-solving skills.
- Strong communications skills.
- Attention to detail.
- Continuous improvement mindset.
- Passion for data.
- Microsoft Excel / Google Sheets proficiency.
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