Data analysis + Data Tracking & Reporting: Track and monitor member data, generating comprehensive reports for regular review and decision-making. Analyze member behavior and engagement metrics to provide actionable insights. + Customer Behavior Analysis: Conduct in-depth analyses of customer behavior and usage patterns to understand factors influencing member sign-up and activity. Use data to uncover opportunities for improving customer retention and engagement. + Strategic Support: Collaborate with cross-functional teams to develop and implement strategies to increase membership sign-ups and activate dormant members. Provide recommendations based on data to optimize marketing campaigns, loyalty programs, and customer engagement efforts. + Continuous Improvement: Identify trends in member activity and propose actionable solutions for improvements. Measure and report on the effectiveness of implemented strategies.
Customer Member's Point Promotion + Review data for tracking and evaluating campaign or member performance to identify opportunities for improvement + Plan and execute promotion/ activation campaign and follow to achieve the KPI + Work with data to make report and proposal monthly + Support Deputy manager on task related to Membership
Mobile app management & cooperate with Group App + Collaborate with tech team on App function development, improve user experience + Plan & Execute promotion campaign on App to recruit more new register and active user + Follow monthly all figures relating to App to statistic user behavior, from that, suggest action to reach company target
Other duties + Working cross- functional ( MD, Operation, Account, Legal, IT…) to ensure projects running smoothly & effectively + Quarterly survey competitors to learn their good practices and suggest improvement for AEON +Accomplish marketing and organization mission by completing related results as needed. + Other supporting tasks as requested by Deputy manager and Manager
Job Requirement
Bachelor’s degree in Data Science, Statistics, Economics, or a related field
At least 3 years of experience in data analysis, preferably in a retail or e-commerce environment
Strong proficiency with data analysis tools (e.g., Excel, SQL, Power BI, Tableau)
Experience with customer behavior analytics and understanding of customer segmentation
Ability to work with large datasets and translate them into business recommendations
Strong communication skills, with the ability to present findings clearly to non-technical stakeholders
Knowledge of machine learning models or advanced statistical techniques is a plus
