Product Data Analyst - Binance Acceleration Program
New
J
JobgetherFintech, Cryptocurrency
IndiaFull-TimeEntry
Salary not disclosed
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Job Details
- Languages
- English, Mandarin
- Required Skills
- PythonSQLData AnalysisMicrosoft Power BITableauProduct AnalyticsData visualizationA/B testingR
Requirements
- Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Computer Science, Economics, Data Science, or another quantitative discipline.
- Professional fluency in both English and Mandarin.
- Proficiency in SQL, including complex queries using CTEs, window functions, and subqueries.
- Programming experience with Python or R for data manipulation and analysis.
- Familiarity with data visualization tools such as DataWind, Tableau, or Power BI.
- Understanding of A/B testing fundamentals, including hypothesis testing, p-values, confidence intervals, cohort allocation, and uplift measurement.
- Strong logical reasoning, attention to detail, and the ability to work independently.
- Strong curiosity and analytical thinking, with the ability to investigate trends and explain findings clearly.
Responsibilities
- Support the development and analysis of user conversion funnels, identifying key drop-off points, behavioral patterns, and opportunities to improve the user experience.
- Assist with A/B test analysis by extracting experiment data, validating cohort allocation through sanity checks, calculating uplift metrics, and summarizing findings.
- Build and maintain dashboards tracking important product metrics, including click-through rates, conversion rates, unique visitors, and page views.
- Respond to ad-hoc analytical requests from product teams, including user segmentation, feature adoption analysis, and campaign performance assessments.
- Write, optimize, and maintain SQL queries used in recurring and scheduled data pipelines.
- Assist with data quality monitoring and help identify potential inconsistencies or issues in analytical datasets.
- Translate analytical findings into clear summaries, visualizations, and actionable insights for product stakeholders.
- Work closely with senior analysts and product teams to understand business questions and translate them into structured analytical approaches.
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