亚马逊Business Analyst Intern
任职要求
基本任职资格 - A Bachelor's Degree, preferably in an analytical field , e.g. Economics, Engineering, Mathematics, Statistics, or Computer Science. - Proficiency in analytical tools, SQL/ETL, Microsoft Excel, and statistical analysis tools. - Experience with data visualization using QuickSight, Tableau, or similar tools - Experience defining requirements and using data and metrics to draw business insights - Basic English read/write capability - Open-minded, creative and proactive thinking - Keep curiosity, willing to learn new things 优先任职资格 - Advanced Degree in an analytical field , e.g. Economics, Engineering, Mathematics, St…
工作职责
Scope of Work: 1. Update KPI metrics, monitor KPI performance and support the KPI performance deep dive by raw data sharing and simple analysis; 2. Provide data support for team operations, projects and ad-hoc requests; 3. Dive into data and identify improvement area, support data pipeline automation development; 4. Design, develop and maintain scaled, automated, dashboards that will support business needs Duration: At least 4 days per week, 4-6 months
1) Support performance report(weekly & monthly) 2) Support virtualization tool development and maintenance 3) Query optimization & consolidation 4) Documentation maintenance A day in the life 1) Reports preparations includes but not limit for collecting and formatting offline data/file. 2) virtualization tool Quicksight maintenance and development if any. 3) Query optimization for existing data pipeline 4) Documentation maintenance
1) Support performance report(weekly & monthly) 2) Support virtualization tool development and maintenance 3) Query optimization & consolidation 4) Documentation maintenance A day in the life A day in the life 1) Reports preparations includes but not limit for collecting and formatting offline data/file. 2) virtualization tool Quicksight maintenance and development if any. 3) Query optimization for existing data pipeline 4) Documentation maintenance
1) Performance report (weekly & monthly) 2) Data visualization development and maintenance 3) Query optimization & consolidation 4) Documentation maintenance 5) Ad-hoc task support A day in the life 1) Reports preparations includes but not limited to collecting and formatting offline data/file. 2) Data visualization Quicksight maintenance and development if any. 3) Query optimization for existing data pipeline 4) Documentation maintenance 5) Ad-hoc business deep dive
1) Performance report (weekly & monthly) 2) Data visualization development and maintenance 3) Query optimization & consolidation 4) Documentation maintenance 5) Ad-hoc task support A day in the life 1) Reports preparations includes but not limited to collecting and formatting offline data/file. 2) Data visualization Quicksight maintenance and development if any. 3) Query optimization for existing data pipeline 4) Documentation maintenance 5) Ad-hoc business deep dive