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Senior Data Analyst, Pricing

Lalamove · Hong Kong SAR, Hong Kong

Data Science / AI / Machine LearningSenior LevelQuick applyfull-time16 days ago

About The Role

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.

What we seek

  • 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.

What you'll need

  • 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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