亚马逊Business Analyst Intern, GM CN BI
任职要求
基本任职资格 Required Skills: 1. SQL query skills 2. BI Visualization Tools skill 3. Good communication skills 4. Proficiency English read/write capability 5. Detail-oriented 优先任职资格 1. Python Programing in a moderate level 2. ML skillful is a plus 3. Familiarity with Django frame is a plus Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
工作职责
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) 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) 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) 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
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