Business Data Support: Collaborate with core business lines (platform, card spending, acquiring) to respond to daily data requests from product, operations, and risk teams, supporting business decision-making.
Reports & Dashboards: Maintain and improve key business monitoring reports (e.g., DAU, authorization success rate, retention rate). Build automated BI dashboards for anomaly detection and early warning of business metrics.
Specialized Analysis: Conduct in-depth analysis of user behavior paths. Perform studies on user churn, conversion funnels, and campaign effectiveness, delivering actionable insights.
Model & Strategy Support: Assist data scientists and strategy analysts with feature engineering, A/B test design, and performance evaluation. Contribute to post-analysis and optimization of marketing campaigns and growth strategies.
Data Governance: Help organize data tracking documentation, validate reporting accuracy, and ensure integrity of data assets.
Requirements
Education: Currently pursuing a Bachelor’s degree or above in Statistics, Mathematics, Computer Science, Financial Engineering, Economics, or related fields.
Technical Skills:
Proficient in SQL, capable of writing complex queries (multi-table joins, window functions).
Familiar with Python (Pandas, NumPy) or R; experience in data cleaning and basic modeling is a plus.
Skilled in at least one BI tool (Tableau, Power BI, QuickBI).
Soft Skills: Strong logical thinking, high data sensitivity, excellent communication skills, and ability to work under pressure.
Preferred Qualifications
Internship experience in data analysis, ideally within internet or financial industries.
Ability to leverage new tools and technologies to improve efficiency.
Skills & Requirements
Technical Skills
SqlPythonRPandasNumpyBi tool (tableau, power bi, quickbi)ExcelLogical thinkingData sensitivityCommunicationWork under pressureData analysisInternet industryFinancial industry