Now more than ever, there has never been more demand for data roles. Find out which data career paths fit you, and learn about the different data roles within a data team.

Data Science and machine learning have never been more popular. As demand for data roles grows, the possibilities are endless when it comes to pursuing a career in data. This infographic presents a high-level overview of the different data roles within a data team, what are the different skills required to succeed, upskilling paths to get there, and more.

Data Consumers

Data consumers use data to make data-driven decisions and actively have informed conversations with data practitioners. 

Most commonly used tools

• Business Intelligence Tools like Tableau or Power BI
• Spreadsheets tools like Excel or Google Sheets

Possible job titles

Data consumers can have a variety of job titles. Anyone consuming data-driven insights falls under the data consumer category. Possible job titles include:

• Chief Marketing Officer
• Human Resources Manager
• Head of Sales and Business Development

Skill levels

Beginner Skill Level

• Understands what data scientists, machine learning scientists, and data engineers do
• Knows which questions can (and can't) be answered with data 
• Interpret the results of data projects, including calculations and visualizations.

Intermediate Skill Level

• Is able to calculate descriptive statistics
• Can draw common data visualizations
• Understands the business applications of data

Advanced Skill Level

• Has a strong grasp of the fundamentals of business intelligence

Upskilling path

Skill Tracks

• Data Literacy Fundamentals 
• Data Skills for Business

Courses

• Introduction to Power BI
• Introduction to Tableau