1. Data Transformation & Integration

• Develop and maintain ETL (Extract, Transform, Load) processes to consolidate data from various internal and external sources.
• Clean, transform, and structure data to ensure accuracy and usability.

2. Data Development & Automation

• Build and optimize data models and pipelines for reporting and analytics.
• Automate recurring data tasks to improve efficiency and reduce manual effort.

3. Reporting & Visualization

• Design and develop dashboards, reports, and visualizations using BI tools (e.g., Power BI, Tableau).
• Ensure reports are aligned with business needs and provide actionable insights.

4. Stakeholder Collaboration

• Work with business teams to understand data requirements and translate them into technical solutions.
• Provide support and training to users on BI tools and data interpretation.

5. Data Governance & Quality

• Ensure data accuracy, consistency, and security across all BI solutions.
• Implement best practices for data documentation and version control.