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. Since 2013, we have tackled the logistics industry head on to find the most innovative solutions for the world’s delivery needs. We are full steam ahead to make Lalamove synonymous with delivery and on a mission to impact as many local communities as we can. We have massively scaled our efforts across Asia and now have our sights on taking our best in class technology to the rest of the world. And we need your help to get us there!
As a Data Analyst 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.
To all candidates- Lalamove respects your privacy and is committed to protecting your personal data.
This Notice will inform you how we will use your personal data, explain your privacy rights and the protection you have by the law when you apply to join us. Please take time to read and understand this Notice. Candidate Privacy Notice: https://www.lalamove.com/en-hk/candidate-privacy-notice
- Translate business questions into well-defined analytics goals, testable hypotheses, and success metrics.
- Develop and apply structured analytical frameworks (e.g., funnel analysis, segmentation, experimentation) to solve complex business problems and uncover key drivers of performance.
- Produce analytical outputs that highlight trends, anomalies, and actionable insights, enabling informed business decisions.
- Synthesize findings into concise, actionable recommendations, clearly communicating implications, risks, and trade-offs to different audiences.
- At least 1 year of work experience in a business intelligence or data analytics role
- Strong proficiency in SQL
- Knowledge of data warehousing concepts, Python or R is a plus
- Experience using Tableau or other BI Tools for reporting and analyses
- Good command of English (both written and oral)
Lalamove
Logistics · Series F · Hong Kong, Hong Kong