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Salary
≈ HK$17k – HK$42k per month (Estimated)
Location
In office (Hong Kong)
Seniority
Junior · 1+ year exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 2, 2026. Lalamove scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Lalamove is an on-demand logistics and freight delivery platform that connects individuals, small businesses, and enterprise clients with professional driver partners. Headquartered in Hong Kong, the company operates across dozens of markets in Asia, Latin America, and EMEA (operating as Huolala in Mainland China). Through its mobile and web applications, it provides real-time courier services, same-day delivery, fleet dispatching, and moving solutions, enabling businesses to optimize last-mile supply chain operations.

As a Data Analyst at Lalamove, you will be shaping the future of Lalamove operations through data-driven insights. You will deep dive into our data and uncover actionable learnings to empower Operations teams in making informed business decisions across markets. The ideal candidate will have a passion for generating value out of data and impacting business performance.

What you will do:

  • Develop and apply analytical frameworks for solving complex business problems

  • Partner with stakeholders across the company to influence business objectives and goals

  • Build intuitive and impactful dashboards to allow stakeholders to make data-informed decisions

  • Synthesize data into clear, actionable recommendations and effectively communicate them to different audiences

  • Lead data-driven learning process of effective pre-launch impact measurement planning and post-implementation data review

What you'll need:

  • At least 1 years of work experience in a business intelligence or data analytics role

  • Strong proficiency in SQL, with good understanding of data warehousing concepts

  • Experience using Tableau or other BI Tools for reporting and analyses

  • Proven track record of leveraging data to influence decision making

  • Good command of English (both written and oral)

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