Salary
≈ $27k – $62k per year (Estimated)
Location
In office (Hong Kong)
Seniority
Senior · 4+ years exp
Employment
Full-Time
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 Senior Data Analyst at Lalamove, you will work with a group of passionate and talented people across different teama. You will be delivering reports, dashboards, data sources, and 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.
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 4 years of work experience in a business intelligence or data analytics role
- Experience leading a small team will be a plus
- 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. Comfortable with Linux and Git commands
- Experience using Tableau or other BI Tools for reporting and analyses
- Good command of English
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