In today’s modern world, organizations rely on data science to make informed decisions and strategies. As a result, the field of data science is rapidly growing. You’ll come across job postings for roles such as data engineer, data analyst, and data analyst. At first glance, they all seem to refer to the same job. While they share many similarities, there are key differences between these three roles in the field of data science.
What Is A Data Engineer?
A data engineer comes from a strong technical background, typically in one of the STEM fields such as math or statistics. They possess a master’s degree in data and a wealth of knowledge in programming languages such as Java and Python as well as SQL and NoSQL database systems.
Role And Responsibilities Of A Data Engineer
Data engineers are responsible for developing, testing, and maintaining data architectures. They are responsible for creating the databases and processing systems necessary for organizations to pull data for analysis. They build data pipelines that connect systems to each other and transform data from one format to another. It is the role of the data engineer to maintain the data infrastructures within an organization necessary for other roles such as data scientists and data analysts to fulfill their responsibilities.
What Is A Data Scientist?
While data engineers are focused on building and maintaining data infrastructures, data scientists tackle the data and interpret them. Data scientists typically come from technical backgrounds such as computer science, statistics, and mathematics. While most data scientists acquire a master’s degree in data science, it is not a requirement.
Roles and Responsibilities of A Data Scientist
A data scientist is responsible for gathering, organizing, and analyzing data to help organizations make the most informed decisions. They employ various techniques to analyze large volumes of complex data. These techniques range from programming to machine learning. In addition to these skills, data scientists must also possess a high degree of knowledge in risk analysis, statistical analysis, software engineering, data mining, research, and more. They allow others to visualize and understand the data through models.
“Data scientists work with messy data from sources such as social media and make sense of it,” according to Carolyn Clark, a journalist at Britstudent and Australia2write. “This is why organizations from businesses to non-profit to government institutions depend on data scientists to find the right answers.”
What Is A Data Analyst?
Unlike a data engineer and a data scientist, a data analyst does not need a background in math, statistics, or programming to excel in their role. While it might be beneficial to develop a general understanding of math, data analysts are more concerned with how to turn findings from the data into solutions. A data analyst uses data to reach meaningful conclusions that companies can use to devise better informed strategies and decisions. As a result, there is a great demand for data analysts across all industries.
Roles and Responsibilities Of A Data Analyst
A data analyst is responsible for retrieving, collecting, and organizing data to produce helpful reports. These reports provide companies with key insights, answers, and analysis. It is the role of the data analyst to spot trends in the data, interpret it, and present it.
Essentially, data analysts find the narrative in the data and convey it to organizations. They find solutions and answers in the data for businesses and other organizations.
Salary Comparison Between A Data Engineer, A Data Analyst, and A Data Scientist
The average annual base salary for a data engineer in the US is around $122,000. The average annual base salary for a data scientist is $117,000. On the other hand, the average annual base salary for a data analyst is approximately $66,000.
The roles of data engineer, data scientist, and data analyst are often mistaken for each other. While these roles share many similarities, they approach data in remarkably different ways. To decide which role is the best fit for you, consider your strengths and specific interests in data science.
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George J. Newton is a digital content manager and tech writer for Academicbrits and PhD Kingdom. He has a very patient wife of over ten years, who is his biggest supporter. He also contributes articles on the latest trends and news about the tech industry to websites such as Next Coursework.