Canopy
Lalamove (HK)

Lalamove - Business Analyst

Entry Level
Hong Kong
Business Analyst
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About Us

Originally founded in 2013 as EasyVan, Lalamove is Asia’s leading local delivery platform with a presence in more than 120 cities. Lalamove’s mission of making local delivery faster and simpler is driven through harnessing the power of mobile internet to bring the sharing economy to logistics. In the past 5 years, more than one million customers and hundreds of thousands of professional van, motorcycle, lorry and truck drivers across the region have used Lalamove to help their business grow. Lalamove revolutionizes the local logistics landscape with innovations such as instant order matching, GPS vehicle tracking, 24/7 services, and drivers rating. Not only does the service help fulfil customers’ business needs, it also makes our cities greener by helping drivers optimize their work which ultimately means we need fewer vehicles on the road.


Who we're looking for

Lalamove’s BI & Analytics team sits at the heart of the platform. The team produces quantitative insights that enable Lalamove to develop incisive, real-time products and strategies that yield an efficient and competitive marketplace.

This role works closely with cities to ensure the most optimized and competitive price to our customers by pricing related monitoring, analysis, reporting and action.

This is a unique and rare opportunity to get in on the ground floor within a fast growing company and help shape the technology, product and the business.  

What you will be doing
  • Ongoing competition monitoring and benchmarking and relevant analysis
  • Analyze the competitor pricing data and identify requisite actions to offer the best prices
  • Taking pricing decisions and managing workflow with the internal teams
  • Planning and reporting based on same set of key metrics, targets and reporting structure for stakeholders (management, functional departments and city teams)
  • Identify areas for improvements and gaps for responsible market
Who you are
  • Undergraduate Degree and/or Postgraduate Degree in Business, Economics, Analytics, or other relevant fields.
  • At least 2 years of working experiences in data and analytics related functions within commercial departments preferred.
  • Experience with handling very large datasets. Strong with SQL, Excel would be ideal
  • Comfortable with taking up new scope as the role keeps evolving
  • Able to work independently while collaborating closely with city teams

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