Companies need data scientists to identify new insights, and they need data analysts to give leaders what they need to answer specific business questions.

Data scientists and data analysts have overlapping duties but function differently in terms of the data they work with. Read below to know the difference between Data Analyst and Data Scientist.

A data scientist gathers various kinds of data like: online data, cellular data, client data, and sensor data to deliver comprehensive and practical data. What Is a Business Analyst?

Data analysts can help build accessible data models by defining business needs, working with IT and data scientists, and testing results.

Business intelligence and data science often go hand in hand. Both fields focus on deriving business insights from data, yet data scientists are regularly touted as the unicorns of big data analysis.

Likewise, machine learning models, another data science staple, were high on the list for data analysts at number four, but way down on the data scientist priorities at number 15.

Analysts work with marketing professionals, management, and organizational stakeholders. Related job titles include market research analyst, demographic analyst, or data scientist. Data analyst vs ...

Interested in turning a love of problem solving into a rewarding career? Learn how to become a data analyst and explore what a data analyst actually does.

What does a data analyst do? Use our guide to learn about data analyst careers, including the educational steps for how to become a data analyst.