Data Professional Roles

Study Notes

Data Professionals

Data professionals are in high demand and have promising career prospects.
They are needed to access, analyze, and share the interpretation of the stories within a company's data.

Key Skills for Data Professionals

Strong quantitative and analytical skills.
Ability to communicate insights through effective visualization and storytelling.

Types of Data Professional Roles

Data Analyst

Responsible for gathering, understanding, analyzing, interpreting, and visualizing data.
Must possess strong analytical skills, proficiency in statistical analysis tools, and knowledge of database query languages like SQL.
Needs to be proficient in working with spreadsheets like Microsoft Excel and data visualization tools.

Other Data Professional Roles

Data Engineer: designs robust data architectures and builds and maintains data repositories like data warehouses.
Business Intelligence Analyst
Data Scientist
Machine Learning Engineer
Business Analyst
Data Governance Analyst

Data Professionals

In high demand with promising career prospects
Responsible for accessing, analyzing, and sharing the interpretation of a company's data

Key Skills for Data Professionals

Strong quantitative and analytical skills
Ability to communicate insights through effective visualization and storytelling

Types of Data Professional Roles

Data Analyst

Responsible for gathering, understanding, analyzing, interpreting, and visualizing data
Must possess strong analytical skills
Proficient in:
- Statistical analysis tools
- Database query languages like SQL
- Working with spreadsheets like Microsoft Excel
- Data visualization tools

Other Data Professional Roles

Data Engineer: designs robust data architectures and builds and maintains data repositories like data warehouses
Business Intelligence Analyst
Data Scientist
Machine Learning Engineer
Business Analyst
Data Governance Analyst

Description

Data professionals are in high demand with promising career prospects. They analyze and interpret company data, requiring strong quantitative and analytical skills, as well as the ability to effectively communicate insights through visualization and storytelling.