Regional Data Analytics Manager

Regional, Singapore /
Business Intelligence – Business Intelligence /
Permanent, Full-time
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.

The Data Analytics Manager leads a team of data analysts  to support business teams in achieving their objectives. By leveraging in-depth data analysis and strong business acumen, the data analytics team provides actionable recommendations for business teams

Responsibilities

    • Engage stakeholders across functions to understand business problems and objectives
    • Translate broad business questions into questions that can be answered with analytics (metrics and visualizations) and decision science (mathematical and statistical methods).Determine the best tools and techniques to answer these questions
    • Perform in-depth analyses that produce actionable recommendations. Present results to stakeholders
    • Provide leadership and technical guidance to data analysts
    • Structure and manage data analytical workflows
    • Influence analytics strategy and infrastructure
    • Build a repository of analytical techniques, best practices and case studies for analyzing business problems
    • Maintain up-to-date knowledge of latest tools and technologies

Requirements

    • Bachelors' Degree in: Computer Science, Engineering, Mathematics or Statistics
    • 5+ years of experience in analytics and product / process improvement-related initiatives
    • 2+ years of experience in leading projects and mentoring junior employees
    • Experience in the following software: Python, SQL, R (or other tools for statistical analysis) and data visualization tools
    • Proficient in analytics (metrics and visualizations) and decision science (mathematical and statistical methods)
    • Passion for solving problems
    • Possess a structured thought process
    • Highly collaborative
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