Ninja Van

Regional Data Analyst

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.

The Regional Data Analyst partners 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. To note that there are different levels of data analysts within the team and the job roles are different.

Responsibilities

    • Work with stakeholders to define business and information needs
    • Liaise with stakeholders to identify issues and how analytics can help resolve such issues
    • Support the translation of business needs into analytics and reporting requirements
    • Support projects across the region, being involved on the ground
    • Recommend types of data and data sources needed
    • Think ahead and propose what new data sources should be made available to enhance the analyses
    • Gather data from internal systems and external sources
    • Clean databases to remove duplicated, outdated or irrelevant information
    • Perform data validation and quality control checks
    • Mine data to identify trends, patterns and correlations
    • Develop solutions and recommendations to address information need
    • Design data reports and visualisation tools (dashboards) to facilitate data understanding

Requirements

    • Bachelor degree in a quantitative major: Computer Science, Engineering, Mathematics or Statistics
    • 0 - 3 years (data analyst) of experience in analytics and product / process improvement-related initiatives. Applicants with minimal work experience but possess strong extra-curricular and internship records are welcomed to apply
    • Experience with SQL, Python, R (or other tools for statistical analysis) and data visualization tools a plus
    • Good understanding of analytics and computational modelling, business needs analysis, data visualization & stakeholder management
    • Ability to display a structured thought process
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