Canopy
Lalamove (HK)

Lalamove - Data Analyst

Mid Level
Hong Kong
Data Analyst
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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 Data Analyst at Lalamove, you will work with a group of passionate and talented product managers, engineers, designers, and data scientists to solve some of the most challenging problems the company is facing. You will be delivering reports, dashboards, data sources, actionable insights based on analyses and experimentation to empower product management in making informed decisions. The ideal candidate will have a passion for generating value out of data and shape the future of lalamove products.

The ideal candidate will have a passion for generating value out of data in order to shape the direction of our market expansion. The role will be action packed, demanding and offer you the opportunity to ensure that our growth plans are rooted in strong fundamentals as a result of your efforts.

Who you are

What we seek:

  • Quick learner: you enjoy analyzing data, and you have the ability to learn new methods and technologies 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 effectively interpret insights in simple terms to inspire actions and influence the strategy of stakeholders

What you'll need:

  • At least 2 years of work experience in a business intelligence or data analytics role, fresh graduates also considered
  • Educational background in statistics, computer science, other applied sciences or understanding of data science theory
  • Experience in applying Visualization, Statistical Inference and other Data Mining techniques on variety of data
  • Proficiency in SQL and Python/R. Comfortable with Linux and Git commands
  • Experience using Tableau or other BI Tools for reporting and analyses
  • Good command of English
  • Candidate with more experience will be considered for the role of Senior Data Analyst.

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