Mô tả công việc
Mô tả Công việc
Analyze customer behavior, campaign performance, and business metrics to identify growth opportunities and improve customer engagement.
Develop and maintain customer segmentation models using behavioral, transactional, and demographic data to support CRM and personalized marketing initiatives.
Extract, transform, and analyze data from CDP, CRM, Data Warehouse, and other business systems using SQL.
Build, maintain, and optimize automated dashboards and reports to monitor key business and campaign performance metrics such as conversion, retention, customer lifecycle, and engagement.
Collaborate with Data Engineers to validate data pipelines, improve data quality, and ensure data accuracy across reporting systems.
Conduct Customer Analytics using methodologies such as RFM Analysis, Cohort Analysis, Customer Segmentation, Funnel Analysis, and Customer Journey Analysis.
Evaluate campaign effectiveness through pre- and post-campaign analysis, providing actionable insights and optimization recommendations.
Partner with Growth, CRM, Marketing, Customer Service, and E-commerce teams to deliver analytical support, data extraction, and business recommendations.
Leverage AI-powered tools such as ChatGPT, Claude, Gemini, or similar solutions to improve SQL development, reporting automation, and analytical productivity.
Yêu cầu
Yêu Cầu Công Việc
Bachelor's degree in Data Analytics, Data Science, Information Systems, Computer Science, Business Analytics, Marketing, Economics, or related disciplines.
3-5 years of experience in Data Analytics, Business Intelligence, Growth Analytics, Customer Analytics, CRM Analytics, or similar roles, preferably within Retail, E-commerce, FMCG, or Technology companies.
Strong proficiency in SQL with hands-on experience working with Data Warehouse environments and large-scale datasets.
Experience working with Customer Data Platforms (CDP), CRM platforms, or customer data ecosystems.
Proficiency in BI tools such as Power BI, Metabase, Tableau, or equivalent.
Good understanding of Customer Analytics, Customer Segmentation, RFM, Cohort Analysis, Funnel Analysis, and Customer Journey Analytics.
Familiarity with Data Quality Management and collaborating with Data Engineering teams on ETL processes and data validation.
Strong analytical thinking with the ability to translate complex data into actionable business insights.
Experience leveraging AI-powered tools to automate data analysis, SQL development, and reporting is a strong advantage.
Basic English communication skills.
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