Salary
≈ HK$30k – HK$71k per month (Estimated)
Location
In office (Hong Kong)
Seniority
Staff
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Aug 20, 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.
Backed by Silicon Valley Investclub, AppWorks, Galdana Ventures
As a Lead, Data Analytics at Lalamove, you will work with a group of passionate and talented people across different teams. You will deep dive into our data and uncover actionable insights to empower Product, Marketing and Operations teams in making informed decisions. The ideal candidate will have a passion for generating value out of data and shaping the future of Lalamove products.
What you will do:
- Data Analysis & Insights: Leverage advanced analytics techniques to analyze complex business problems and identify opportunities for improvement.
- Presentation & Communication: Distill complex analyses into clear, actionable insights for Lalamove’s senior stakeholders. Prepare and deliver high-impact presentations to the C-level executives.
- Ad-Hoc Projects: Handle urgent, dynamic analytics requests from senior management with flexibility and a solution-oriented mindset.
What you'll need:
- Bachelor’s degree in Business, Analytics, Data Science, or a related field. Master’s degree preferred.
- Extensive experience in business analytics, with at least 1 years in a leadership or managerial role.
- Expertise in handling large datasets using SQL, R, Python and advanced proficiency in analytical tools like Excel or equivalent platforms. e.g., Power BI, Tableau.
- Exceptional presentation skills, with the ability to convey complex insights in a simple, impactful manner.
- High level of maturity, professionalism, and emotional intelligence.
- Strong problem-solving skills and the ability to think critically under pressure.
- Flexibility to adapt to changing priorities and manage ambiguity.
What we look for:
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