Senior Data Analyst, Pricing

Lalamove’s Analytics team is the engine behind our real-time, data-driven marketplace. We don’t just measure performance; we build the quantitative foundation that enables a highly efficient, liquid, and competitive on-demand logistics ecosystem.
We are looking for a detail-oriented and data-savvy Pricing professional to support our pricing execution and marketplace optimization efforts. In this role, you will be heavily involved in deep-dive data analysis, tracking competitive movements, and maintaining the analytical models that ensure Lalamove delivers the most competitive and profitable prices to our users.

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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

• Competitive Intelligence Monitoring: Track, scrape, and benchmark competitor pricing activities on a regular basis. Maintain and update intelligence dashboards to keep the team informed of market movements.

• Support Pricing Execution: Assist in the operational rollout and configuration of surcharge structures, surge pricing, and promotional incentives aimed at balancing marketplace liquidity.

• Deep-Dive Analysis: Query massive datasets to track pricing performance, demand patterns, and user behavior. Help identify anomalies or opportunities for price adjustments.

• Performance Reporting: Maintain regular reporting rhythms. Track key marketplace metrics, build dashboards, and provide the analytical groundwork for strategic narratives.

• Continuous Improvement: Highlight structural gaps or inefficiencies in day-to-day operations and suggest automation opportunities to streamline pricing execution.
• Bachelor’s Degree in Business, Economics, Analytics, Statistics, or a related quantitative field.

• Hands-on experience in data analytics, commercial finance, or a highly analytical operations role.

• Proficient in SQL and advanced Excel. Exposure to Python and experience with data visualization tools (e.g., Tableau, PowerBI) is highly preferred.

• Understanding of on-demand marketplace dynamics (e.g., matching supply and demand, driver incentives, user promos).

• Strong attention to detail and a highly analytical mindset.

• Ability to thrive in a fast-paced environment and execute tasks accurately with a high degree of ownership.