Lead, Data Analytics - Pricing

Team: Platform Growth and Analytics

Location: Hong Kong SAR

Commitment: Full-time

Workplace Type: onsite

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 highly analytical and proactive professional to drive pricing analysis, execution, and marketplace optimization. In this role, you will partner with the Platform Growth function and cross-functional stakeholders to implement optimal, competitive, and profitable pricing. You will leverage advanced analytics to solve complex marketplace challenges and help us win in the market.

What we seek:

• Drive Competitive Intelligence & Pricing Strategy: Manage the monitoring and benchmarking of competitor pricing activity. Translate raw market data into data-backed pricing recommendations and actions.
• Implement Pricing Execution: Drive the rollout of surcharge structures, surge pricing, promotional incentives, and dynamic pricing models to balance marketplace liquidity, driver supply, and customer affordability.
• Data-Driven Decision Making: Analyze complex datasets to model price elasticity, identify demand patterns, and spot competitive gaps. Recommend and execute pricing adjustments to optimize both volume and yield.
• Reporting & Stakeholder Alignment: Deliver rigorous reporting and actionable insights to management. Define key marketplace metrics and help build narratives that guide regional and global strategies.
• Process Optimization: Identify structural gaps and automation opportunities within existing markets. Evolve and improve current pricing logic to keep pace with a rapidly changing competitive landscape.

What you'll need:

• Bachelor’s or Postgraduate Degree in Business, Economics, Analytics, Statistics, or a related quantitative field.
• Minimum 4 years of solid experience in data analytics in pricing, revenue management, or marketplace optimization. 
• Advanced SQL and Python skills, alongside expert proficiency in Excel. Strong experience with data visualization tools (e.g., Tableau, PowerBI) is required.
• Solid understanding of multiple-sided marketplace dynamics, including surge pricing, incentive optimization, and price sensitivity.
• Ability to thrive in ambiguity and adapt quickly as the business scales and competitive dynamics shift.
• Proven experience managing complex data projects and the ability to effectively communicate and partner with mid-to-senior stakeholders across functions.