This solution provided robust analytical capabilities and rich reporting functionalities to support data-driven decision making:

• Data Warehouse (SQL Server): Designed and managed a scalable data repository for historical retail data.

• ETL (SSIS): Automated data extraction, transformation, and loading processes.

• Multi-Dimensional Analysis (SSAS): Created OLAP cubes for complex data analysis.

• Reporting (SSRS): Developed interactive reports for retail insights.

Key Responsibilities:

• Data Management and Analytics:

  • Designed and developed the data warehouse schema to optimize data storage and retrieval for retail analysis.

  • Developed T-SQL queries and SSIS packages to automate data extraction, transformation, and loading processes.

  • Created OLAP cubes within SSAS to enable multi-dimensional data analysis for various retail metrics.

  • Developed interactive reports using SSRS to visualize data and provide insights to stakeholders.

• Database Administration:

  • Administered and maintained the SQL Server data warehouse environment, ensuring data integrity and performance.

  • Performed T-SQL performance tuning and optimization to ensure efficient data querying and retrieval.

• Production Support:

  • Participated in 24/7 production system support, identifying and resolving data and non-data issues within the data warehouse, OLAP cubes, and ETL processes.

• Communication and Collaboration:

  • Communicated directly with stakeholders to understand business needs and provide technical guidance.

  • Participated in code reviews and refactoring efforts to ensure code quality and maintainability.

  • Utilized Python for additional scripting tasks as needed.