1. Strong analytical and problem-solving skills, with the ability to work with complex data structures and identify data-related issues

2. Expertise in data modeling tools, database management systems (e.g., Postgresql, MySQL), and data integration technologies

3. Familiarity with data governance principles and best practices

4. Understanding of data warehousing concepts and technologies

5. Proficient understanding of data architecture

6. Experience with ETL (extract, transform, load) processes and tools including Power BI (or any other reporting tool for data visualization and analysis)

7. Familiarity with data security and privacy regulations (e.g., GDPR, CCPA)

8. Proficiency in using and managing Google Sheets or Excel for data analysis, reporting, and visualization

9. Experience in managing marketing data, with a focus on digital marketing data pipelines, would be a plus

10. Excellent communication skills, with the ability to effectively collaborate with both technical and non-technical stakeholders

11. Ability to work independently and manage multiple tasks in a fast-paced environment

12. Bachelor's degree in a relevant field such as computer science, information systems, mathematics, or a related discipline (preferred but not required)

13. Prior experience in data analysis, data management, or data architecture (preferred but not required)

14. Preferable Skills Python & Django