About The Team

At ShopeeFood, the Demand Planning team plays a key role in driving order growth by turning data into actionable marketing and campaign strategies. The team works closely with Marketing, Business Development, and Operations to analyze buyer behavior, design data-driven voucher strategies, and optimize acquisition spend to maximize business impact.

As a Business Intelligence Analyst, your core mission is to use data analysis, A/B testing, and customer segmentation to design and optimize voucher and campaign strategies, directly managing real budget spend to drive efficient buyer acquisition and sustainable demand growth.

Job Description

• Design and run A/B testing strategies on voucher mechanics and campaign designs, analyzing results to identify the most cost-efficient and high-performing approaches
• Conduct customer segmentation analysis and target audience profiling to inform voucher targeting, campaign design, and acquisition strategy
• Own and optimize customer acquisition spend, managing real budget allocation to improve CPI/CPA and overall cost efficiency
• Analyze complex datasets (buyer behavior, campaign performance, spending patterns) to uncover actionable insights that drive business performance
• Design and continuously improve voucher strategies (e.g., algo voucher design, co-fund voucher, campaign voucher, CRM voucher, new user voucher) based on data-driven analysis
• Monitor key performance and efficiency metrics (e.g., CPO, CPI/CPA, CIR, ROI), translating findings into clear, actionable recommendations
• Partner with cross-functional teams (Marketing, BD, Operations) to align data insights with campaign execution and business priorities
• Build and maintain dashboards, trackers, and analytical reports to support data-driven decision-making across the team
• Monitor and manage budget spending across campaigns, ensuring efficient allocation against targets

Requirements

• 0–5 years of experience in business intelligence, data analysis, marketing analytics, or a related field; fresh graduates with strong internships or relevant experience are welcome to apply
• Bachelor’s degree in Business, Statistics, Data Science, or a related field
• Strong data analysis and Excel skills; SQL proficiency is a plus
• Comfortable working with large datasets, experimentation design, and performance metrics (e.g., CPI/CPA, ROI)
• Strong analytical skill, able to translate data into insight and make judgment calls based on logical reasoning
• Experience or strong interest in A/B testing, customer segmentation, and audience profiling
• Good communication and presentation skills, able to convey data insights clearly to cross-functional stakeholders
• Detail-oriented, organized, and comfortable managing budget-related responsibilities
• Demonstrated ability to learn fast, handle multiple tasks, and meet deadlines in a fast-paced environment