Categories: Growth Hacking Blog

Data Analyst vs Data Engineer vs Data Scientist



Data analyst, data scientist and data engineer are three different roles in the field of data science and data analytics. And these three roles can sometimes confuse data science aspirants. In this video, we will go over the differences between the three roles, skill set required in each of these roles and salary expectations.

What is data engineer?
Data engineer is responsible for maintaining data infrastructure, data pipelines, data warehouse, data modeling, etc.

What is data analyst?
Data analyst uses the data warehouse to run analysis on top of it using enterprise business intelligence tools such as Tableau, Power BI, etc. He is also an expert in excel and business domain.

What is data scientist?
Data scientist, on the other hand, has all skills of data analyst plus strong statistical skills and machine learning skills which makes him a perfect person who can build machine learning and deep learning models for predictive analysis and generate detailed insights for any business.
#DataAnalyst #DataEngineer #DataScientist

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Zohe

Seasoned Senior Digital Growth Leader with over 25 years driving transformative growth for global organizations across diverse industries including Retail, SaaS, Telecoms, Healthcare, Technology, Hospitality, Ecommerce and Digital Media.

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