1. Reporting and Visualization:
- Develop and maintain dashboards, reports, and visualizations to effectively communicate key metrics and insights;
- Ensure data is presented in a clear and compelling manner to stakeholders;
- Convert and migration dashboards from current system to new system.
2. Data Management:
- Ensure the accuracy, consistency, and integrity of data across multiple sources;
- Collaborate with data engineering teams to enhance data quality and accessibility.
3. Collaboration:
- Work with Data Architect, Data Engineer, and other departments to understand their data needs and provide analytical support;
- Assist senior analysts and data scientists in developing advanced analytics models.
4. Performance Optimization:
- Identify opportunities for improving data analysis processes and methodologies;
- Implement best practices for data analysis and reporting.
5. Ad-hoc Analysis:
- Conduct ad-hoc analyses to answer specific business questions and provide immediate insights.