Zig By ComfortDelGro Hiring! Full Time Analyst (Dynamic Pricing) in - Ricebowl

Job Responsibilities

• Conduct pricing and market analysis to identify trends, risks, and opportunities within the ride‑hailing marketplace.
• Support the development and evaluation of pricing strategies, fares, promotions, and incentives through data-driven analysis.
• Analyze demand patterns, rider and driver behavior, and price elasticity to assess the impact of pricing initiatives.
• Monitor and evaluate competitor pricing actions and market dynamics, translating findings into actionable pricing recommendations.
• Track pricing performance and conduct post‑implementation analyses to evaluate effectiveness and business impact.
• Collaborate with cross-functional teams (e.g. demand, supply, marketing, product) to gather inputs and align pricing decisions.
• Prepare pricing insights, recommendations, and presentations for internal stakeholders and management.
• Provide ad-hoc analytical support and contribute to special projects, including automation of recurring pricing analyses where appropriate.

Job Requirements

• 2–3 years of experience in data or business analytics, preferably within a two‑sided marketplace (e.g., ride‑hailing, food delivery, or other digital platform businesses).
• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Data Science, Information Systems, or a related quantitative field.
• Strong proficiency in SQL and Python for data extraction, analysis, and pricing model development.
• Solid understanding of statistical analysis, and experimentation techniques (e.g., A/B testing)..
• Prior experience with analytics automation is preferred.
• Familiarity with AI-assisted development tools (e.g. OpenAI Codex, Claude Code, GitHub Copilot, or similar) to improve productivity in analysis and automation is highly preferred.
• Strong communication and presentation skills, with the ability to translate analytical findings into clear insights and recommendations for non-technical stakeholders.
• Bonus: Experience working with real-time ML systems, even at a project or academic level.