Lalamove (HK)

Lalamove - Business Intelligence (BI) Engineer

Mid Level
Hong Kong
Business Intelligence (BI) Engineer
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About Us

At Lalamove, we believe in the power of community. Millions of drivers and customers use our technology every day to connect with one another and move things that matter. Delivery is what we do best and we ensure it is always fast and simple.

Who we're looking for

As a BI Engineer at Lalamove, you will be part of the growing BI&Analytics Team, which supports different functional departments in the functional office, as well as our operation offices across the globe. You will be writing and maintaining our reporting scripts and queries. You will be designing and creating visualisations, reports, metrics dashboards and data sources to empower different teams so that they can make informed decisions with the support of analytics.

Who you are

What we seek:

  • Quick learner: you enjoy working with data and you have the ability to learn new technology and frameworks quickly
  • Problem solver: you have strong critical thinking skills, willing to find creative solutions to difficult problems and work smart before hard
  • High autonomy: self-organized, initiator, passionate with a can-do attitude and own end-to-end projects
  • Team player: you go the extra mile to ensure success and alignment of all parties involved
  • Communicative: you have the ability to elaborate complex technical concepts and collaborate effectively with fellow teammates and stakeholders

What you'll need:

  • Strong Programming Role
  • At least 2 years of work experience in a business intelligence or data analysis role.
  • MUST have experience working with complex datasets and ability to write efficient SQL queries against Hive, MySQL and Redshift.
  • Knowledge of data pipeline, ETL/ELT, workflow management and data warehousing.
  • Experience using business intelligence platforms for data visualisation, creating and automating dashboards, reports and data sources. Tableau is preferable.
  • Experience scripting Python for data manipulation, analysis and automation.
  • Good command of English for communicating technical ideas both orally and in writing
  • Comfortable working with engineering toolkits such as Git and Docker. Knowledge of machine learning, statistical modelling or data science in general would be a plus

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Unit 403, Innocentre, 72 Tat Chee Ave
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Lalamove (HK)

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