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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

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Lalamove Hong Kong, Hong Kong SAR Source published Sep 20, 2026 Verified 6 hours ago
✓ 100% verification score · Source: lalamove (lever) · Always confirm final requirements on the original source.
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EmploymentFull-time

Overview

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

Full job description

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.

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.

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