Lalamove

1 week ago

Lead, Data Analytics - Pricing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Drive competitive intelligence and pricing strategy by monitoring and benchmarking competitor pricing, then translating raw market data into actionable recommendations. Execute and optimize dynamic pricing levers such as surcharges, surge pricing, promotional incentives, and price elasticity modeling. Deliver rigorous reporting and stakeholder-aligned narratives, define key marketplace metrics, and continuously improve pricing logic through automation and process optimization across regions.

Location: Hong Kong

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Manage monitoring and benchmarking of competitor pricing, translating market data into pricing recommendations and actions.
•Drive rollout of surcharge structures, surge pricing, promotional incentives, and dynamic pricing models.
•Analyze complex datasets to model price elasticity, identify demand patterns, and recommend pricing adjustments to optimize volume and yield.
•Deliver rigorous reporting and actionable insights to management, defining key marketplace metrics and guiding regional/global strategies.
•Identify structural gaps and automation opportunities, and evolve pricing logic to keep pace with changing competitive dynamics.

Key Requirements

•Bachelor’s or postgraduate degree in Business, Economics, Analytics, Statistics, or a related quantitative field.
•Minimum 4 years of experience in data analytics for pricing, revenue management, or marketplace optimization.
•Advanced SQL and Python with expert proficiency in Excel; strong data visualization experience with Tableau or PowerBI.
•Strong understanding of multiple-sided marketplace dynamics, including surge pricing, incentive optimization, and price sensitivity.
•Ability to thrive in ambiguity and partner with mid-to-senior stakeholders across functions while managing complex data projects.

Experience:4+ yearsData analyticsPricingRevenue managementMarketplace optimization

Education:Bachelor's in Business, Economics, Analytics, Statistics (or related quantitative field)

Skills:Analytical thinkingProactiveCommunicationStakeholder managementAbility to thrive in ambiguity

Tech Stack:SQLPythonExcelTableauPowerBI

Company Brief

Lalamove

On-demand logistics platform providing same-day delivery, courier, and freight services for individuals and businesses across urban centers, connecting drivers with customers via a mobile and web app.

Industry: Last Mile Delivery

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Hong Kong, Hong Kong

Founded: 2013

Website LinkedIn

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Lalamove

1 week ago

Lead, Data Analytics - Pricing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Hong Kong

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Manage monitoring and benchmarking of competitor pricing, translating market data into pricing recommendations and actions.
•Drive rollout of surcharge structures, surge pricing, promotional incentives, and dynamic pricing models.
•Analyze complex datasets to model price elasticity, identify demand patterns, and recommend pricing adjustments to optimize volume and yield.
•Deliver rigorous reporting and actionable insights to management, defining key marketplace metrics and guiding regional/global strategies.
•Identify structural gaps and automation opportunities, and evolve pricing logic to keep pace with changing competitive dynamics.

Key Requirements

•Bachelor’s or postgraduate degree in Business, Economics, Analytics, Statistics, or a related quantitative field.
•Minimum 4 years of experience in data analytics for pricing, revenue management, or marketplace optimization.
•Advanced SQL and Python with expert proficiency in Excel; strong data visualization experience with Tableau or PowerBI.
•Strong understanding of multiple-sided marketplace dynamics, including surge pricing, incentive optimization, and price sensitivity.
•Ability to thrive in ambiguity and partner with mid-to-senior stakeholders across functions while managing complex data projects.

Experience:4+ yearsData analyticsPricingRevenue managementMarketplace optimization

Education:Bachelor's in Business, Economics, Analytics, Statistics (or related quantitative field)

Skills:Analytical thinkingProactiveCommunicationStakeholder managementAbility to thrive in ambiguity

Tech Stack:SQLPythonExcelTableauPowerBI

Company Brief

Lalamove

Industry: Last Mile Delivery

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Hong Kong, Hong Kong

Founded: 2013

Website LinkedIn