1. Data Extraction and Transformation: - Extract, transform, and load (ETL) processes using MS SQL Server Integration Services (SSIS). - Develop and maintain ETL pipelines to ensure accurate and timely data integration from various sources.2. Data Analysis and Reporting: - Analyze large datasets to identify trends, patterns, and insights. - Generate reports, dashboards, and visualizations using tools such as SSRS, Power BI, or Tableau. - Provide actionable insights to stakeholders to support strategic decision-making.3. Data Warehousing: - Design, implement, and maintain data warehouse structures, including star and snowflake schemas. - Optimize data warehouse performance through indexing, partitioning, and query optimization. - Ensure data integrity, quality, and security within the data warehouse environment.4. Collaboration and Communication: - Work closely with business users, data engineers, and IT teams to understand data requirements and deliver solutions. - Communicate complex data findings and insights in a clear and concise manner to non-technical stakeholders. - Participate in project planning, requirements gathering, and documentation efforts.5. Continuous Improvement: - Stay up-to-date with the latest trends and best practices in data analytics, data warehousing, and MS SQL Server. - Identify opportunities for process improvements and automation within the data analysis workflow.