Lead, Data Analytics - Pricing

Lalamove; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Job summary

Lalamove is seeking a highly analytical pricing analytics professional to drive pricing strategy and execution for its on‑demand logistics marketplace. You will partner with Platform Growth and cross‑functional teams to implement competitive, profitable pricing using advanced analytics.

You will model price elasticity, monitor competitors, and roll out dynamic pricing, surcharges, and incentives to balance liquidity, driver supply, and customer affordability.

Qualifications

• Bachelor’s or Postgraduate Degree in Business, Economics, Analytics, Statistics, or a related quantitative field.
• 4+ years of data analytics experience in pricing, revenue management, or marketplace optimization.
• Advanced SQL and Python skills; expert Excel; experience with Tableau or PowerBI.
• Solid understanding of multi‑sided marketplace dynamics, including surge pricing and incentive optimization.
• Ability to thrive in ambiguity and scale with the business.
• Experience communicating with mid‑to‑senior stakeholders across functions.

Responsibilities

• Drive competitive intelligence and pricing strategy; benchmark competitors and translate data into pricing actions.
• Implement pricing execution: surcharge structures, surge pricing, incentives, and dynamic models.
• Model price elasticity, demand patterns, and competitive gaps to optimize volume and yield.
• Deliver rigorous reporting and align with management on metrics and strategy.
• Identify gaps and automate pricing processes to stay ahead of market changes.

Skills

Pricing analytics

Data modeling

Stakeholder communication

Ambiguity management

Education

Bachelor’s or Postgraduate Degree in Business or analytics

Tools

SQL

Python

Excel

Tableau

PowerBI

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 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.

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