담당업무
- Data analysis
ㆍData-Driven Strategy Development: Develop and implement growth strategies based on data analysis, focusing on increasing user acquisition, retention.
ㆍAnalysis of User Acquisition and Retention: Analyze various channels (media, search, CRM campaign) to acquire and retain users. ㆍConsumer Behavior Analysis: Analyze 1st party consumer behavior data collected within the CRM platform to understand customer behavior patterns, preferences, pet’s golden moment in the lifecycle. ㆍPerformance Analysis: Set a goal, monitor and analyze performance metrics to identify opportunities for growth and areas for improvement. ㆍData Analysis Report: Create, review and share CRM insight via regular report (Weekly / Monthly / Quarterly) to ensure all the activities are met for required KPIs.- Data orchestration
ㆍData Integration: Combining data from different sources, involving various data types and formats, into a single, coherent data set.
ㆍData Quality Assurance: Implementing processes and rules to ensure that data is accurate, complete, and reliable. ㆍData Delivery Management: Ensuring that processed data is distributed to the right systems or stakeholders efficiently and securely. ㆍCompliance and Security: Managing data in compliance with regulations and ensuring that data is secure throughout its lifecycle.
지원자격 (Growth Marketing _data analysis) | ㆍ+- 5 years Experience in Performance or growth marketing.
ㆍData Ethics: Understanding and adhering to ethical considerations and data privacy principles ㆍData Analysis Skills: The ability to analyze and interpret data to make informed decisions is vital. Familiarity with analytics tools like Google Analytics, Tableau, or similar platforms is often required. ㆍCommunication Skills: Ability to translate complex data findings into understandable terms and effectively communicate with various stakeholders. ㆍProblem-Solving: Applying data insights to solve business problems and make informed decisions. ㆍCross-Functional Collaboration: Working effectively with teams from different departments to align data insights with broader business strategies ㆍStatistical Analysis: Understanding and applying statistical methods to interpret data trends and patterns.
ㆍData Mining: Extracting valuable information and patterns from large datasets. ㆍPredictive Modeling: Using data to create models that predict future trends and outcomes. |
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