1. Analyze and organize raw data.

2. Build data systems and pipelines.

3. Create and maintain optimal data pipeline architecture.

4. Interpret trends and patterns.

5. Conduct complex data analysis and report on results.

6. Prepare data for prescriptive and predictive modeling.

7. Build algorithms and prototypes.

8. Combine raw information from different sources.

9. Develop analytical tools and programs.

10. Collaborate with data scientists and architects on several projects.