Business Intelligence Analyst

Jakarta, Indonesia Full-time

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 1.5 million parcels a month across six countries. In April 2016, barely 2 years old, we raised USD30 million to fund our rapid expansion. 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.

Main Criteria:

  • Education degree: Bachelor Degree in Computer Science, Information Technology, Information System, or Statistics. Preferable from reputable universities, with min. GPA 3.00
  • Understand and experience in SQL. Python and R will be plus point.
  • Passion in data analytics, mathematics, statistics and modelling
  • Excellent problem solving, critical thinking and conceptual skill
  • Highly flexible, easy to adapt with new environment, project management, team work, customer centric and eager to self-learn under minimal direction and less supervision

Job Description:

  • Perform software development, production support and provides overall expertise in the area of Data Warehouse and Reporting Application, which include report design, trigger and alerts, data processing, report automation, visualization and dashboards for operational improvements
  • Work independently with heavy interaction with business users
  • Maintain and enhance data warehouse structure and the integration between source system and developing reporting solutions
  • Provide insights, recommendations and strategies to enhance the operational delivery of BI solutions, and technical directions

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