Fleet Optimization

Job Summary

To design, analyze, and optimize cost structures — particularly rider payment schemes — to achieve a balance between cost efficiency and rider motivation and productivity, ensuring alignment with business goals and sustainable financial performance.

Key Responsibilities

1. Cost Optimization & Scheme Design

• Design and evaluate rider payment schemes that align with business strategies and operational behaviors.

• Build and maintain cost simulation models to assess financial impacts and business outcomes of different compensation schemes.

• Continuously refine pricing and payout logic to optimize cost effectiveness while maintaining service quality and rider engagement.

2. Data Analytics & Insights

• Analyze operational and financial data (e.g., delivery cost, productivity, efficiency, cost per order) to identify optimization opportunities.

• Use data insights to recommend cost-saving strategies that do not compromise performance or customer satisfaction.

• Collaborate with BI, Data, and Finance teams to develop dashboards for monitoring cost and scheme performance.

3. Governance & Control

• Define and standardize cost calculation principles and payout rules to ensure transparency, accuracy, and compliance.

• Partner with HR and Operations to ensure fair, compliant, and accurate compensation implementation.

• Validate payout formulas, calculations, and system results to ensure integrity of financial data.

4. Cross-functional Collaboration

• Lead pilot tests and scheme experiments in partnership with Operations, Rider Management, Finance, and Technology teams.

• Present analytical findings and business impact reports to senior management and cross-functional stakeholders.

• Act as the Subject Matter Expert in cost logic, incentive models, and rider compensation design.

Job Specification

• Bachelor's or Master's degree in Economics, Finance, Accounting, Industrial Engineering, or Data Analytics.

• Minimum 8 –10 years of experience in cost optimization, incentive design, pricing strategy, or business

analytics.

• Strong proficiency in Advanced Excel/Google Sheets, SQL, and BI tools (e.g., Power BI, Tableau).

• Excellent analytical and logical thinking skills; capable of scenario modeling and cost simulation.

• Deep understanding of cost drivers in logistics, delivery, or platform-based rider operations preferred.

• Strong communication and collaboration skills; able to partner effectively with both technical and business teams.