1. Payment & Performance Evaluation (30%)

• Manage and allocate operational budgets (driver incentives, support programs, etc.) to ensure alignment with business objectives across different phases.
• Optimize operational costs through policy experimentation initiatives such as A/B testing, canary launches, and pilot programs by region or user segment.
• Provide data-driven recommendations to support operational and policy-related decision-making.
• Monitor and evaluate the effectiveness of operational policies and performance initiatives to ensure budget efficiency and business impact.

2. Reporting, Data Analysis & Documentation (30%)

• Act as the focal point for gathering business requirements and developing data systems (Data Mart, dashboards, reporting tools, etc.) to support operational monitoring and improvement initiatives.
• Deliver timely insights, analyses, and recommendations to stakeholders for accurate and effective decision-making.
• Establish, maintain, and standardize the team’s documentation and knowledge management system to ensure continuity and scalability.
• Ensure reporting systems and data infrastructure operate accurately, efficiently, and meet defined service standards.

3. Technology Application & Project Development (20%)

• Lead the adoption and implementation of AI tools, automation solutions, and operational technologies to improve team productivity and efficiency.
• Initiate or participate in internal and cross-functional projects aimed at enhancing operational quality and business performance.
• Promote the application of AI and automation tools in the team’s day-to-day operations.
• Ensure assigned projects are executed effectively and delivered according to plan.

4. Team Management & Development (20%)

• Manage team performance and support the professional development of team members.
• Build a motivated, engaged, and high-performing team environment.
• Ensure team members are equipped with the required capabilities and resources to fulfill their assigned responsibilities effectively.

• Bachelor’s degree in Data Analytics, Information Systems, Statistics, Economics, or related fields.
• Minimum of 3 years of experience in data analysis and reporting system development; prior experience managing small teams (4+ members) is preferred.
• Proficient in SQL, AI tools, and analytics platforms such as BigQuery, Metabase, Google Sheets, Python, or R.
• Hands-on experience working with Data Warehouses, Data Marts, and ETL processes.
• Strong understanding of A/B testing methodologies, causal inference, and performance evaluation models.
• Ability to present and visualize data clearly and effectively for different stakeholders.
• Strong documentation, knowledge-sharing, and process communication skills.
• Systematic thinking mindset with strong attention to detail and continuous improvement orientation.
• Proactive, collaborative, and capable of managing multiple cross-functional projects simultaneously.
• English proficiency is a plus.

• Physical Wellbeing Benefit: General Insurance, Medical check-up, Accident Insurance, Healthcare Insurance.
• Emotional Wellbeing Benefit: Company Trip, Year End Party, Aha Hour Activities, Special Day Gifts, Aha Club (Badminton, Soccer).
• Financial Wellbeing Benefit: Grab/Be For Work (Tech/Lead Level), Workplace Relocation, 13th Month Salary, PP Appreciate, Annual Leave Remain.