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
- A Bachelors 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
- Advanced Degree in an analytical field e.g. Economics Engineering Mathematics Statistics or Computer Science
- Basic Python Knowledge
- Good English Communication Skills
- Understanding of data warehousing data modeling concept and building new DW tables
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Required Experience:
IC