Senior Data Analyst, Pricing

Full-timeOn-site
Hong Kong SARvia Lalamove CareersPosted Jul 15, 2026
Match with my CV

Technical skills

PythonSQLData analysisBusiness intelligenceSRE

Role signals

Finance

About this 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.

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: Open www.lalamove.com/en-hk/candidate-privacy-notice

Before you apply

  • 1Which parts of your CV prove experience with Python, SQL, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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