Data Analyst at WEEX

Job Description

Key Responsibilities

• Shence Data Analysis: Independently operate the Shence system, conduct user funnel analysis, behavior analysis, and click buried point optimization. Responsible for multi-day funnel analysis of all platform users, covering conversion rates, retention rates, etc. Analyze user DAU, behavior path, and other key metrics.
• User Behavior and Lifecycle Management: Conduct in-depth analysis of user behavior, identify user churn points, and optimize user conversion paths. Propose operational and product optimization suggestions based on analysis results. Analyze user lifecycle value (LTV) to assist in developing user retention and growth strategies.
• Data Requirement Docking and Optimization: Work closely with the business team to understand and transform business requirements. Optimize the data collection plan of Shence and embed point logic. Regularly check data tracking points to ensure accuracy and resolve any abnormal issues.
• Data Extraction and Analysis Report: Proficient in SQL for data extraction and analysis. Generate visual reports that clearly display platform user behavior data and conversion status, helping the team make data-driven business decisions.

Job Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience in data analysis, preferably in a tech or digital platform environment.
• Strong proficiency in SQL for data extraction and analysis.
• Experience with Shence or similar data analysis tools is highly desirable.
• Ability to analyze user behavior, identify trends, and provide actionable insights.
• Excellent communication skills to collaborate with cross-functional teams.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and manage multiple tasks simultaneously.

Preferred Qualifications

• Experience in user lifecycle management and retention strategies.
• Familiarity with visualization tools such as Tableau or Power BI.
• Knowledge of statistical analysis and predictive modeling.
• Experience in optimizing data collection and tracking processes.