SupercellAnalyst Intern
任职要求
Your Responsibilities • Dive deep into player and revenue data to support various projects (for example pricing) • Support the team in A/B testing and other statistical analyses • Continuously track performance metrics and report findings clearly and effectively Ideal Profile • Currently pursuing or recently completed a relevant degree (Industrial Engineering, Systems Analysis, Business Analytics, Data Science, or similar) …
工作职责
N/A
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
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 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