Objective

The Data Warehousing Advisor plays a crucial role in managing and optimizing an organization's data warehousing. The aim is to ensure efficient data storage, retrieval, and manipulation, thus supporting data-driven decision making.

Description

Optimizes data storage and retrieval for organizational efficiency.

Sample Questions

• What are the best practices for database design?
• How to optimize data retrieval in a large database?
• What's the most efficient way to manage data security?
• How to align data warehousing strategy with business objectives?

Key Functions

1. Design and implement effective database solutions and models. 2. Examine and identify database structural necessities. 3. Assess database implementation procedures to ensure they comply with internal and external regulations. 4. Monitor system performance by performing regular tests. 5. Prepare accurate database design and architecture reports for management and executive teams. 6. Collaborate with data architects, modelers and IT team members on project goals. 7. Install, configure, troubleshoot, and maintain a database system.

Required Skills

1. Database design and data modeling. 2. SQL and database query optimization. 3. Knowledge of ETL tools. 4. Data warehousing solutions. 5. Understanding of normalization and de-normalization concepts. 6. Knowledge of Big Data tools. 7. Data security and privacy compliance. 8. Proficiency in scripting languages like Python. 9. Data migration and integration. 10. Performance tuning and capacity planning.