Business Analyst vs. Data Scientist
What Is a Business Analyst?
What Is a Data Scientist?
Business Analyst vs. Data Scientist: What Are the Similarities?
- Analytics and problem-solving are critical to both professions. Data scientists use logic to develop solutions that allow for the efficient processing of massive stores of data. Graduates of Maryville University’s online Bachelor of Science in Data Science can learn and use these skills. Business analysts use analytics and problem-solving to find solutions. Maryville University’s online Bachelor of Science in Mathematics offers a solid background in mathematics along with critical thinking to use that skill effectively.
- Both professions require an understanding of IT. Data scientists need to know how systems work and understand the interactions between configurations to correctly develop systems that use available resources. Business analysts need to understand the capabilities of their operations. Both professions depend heavily on technology.
- Big data plays a significant role in both fields. For example, business analysts use big data to track metrics important to the business to inform decision-making. Data scientists, on the other hand, use big data slightly differently. By using stores of data coming into a company, they develop a system that allows the technology to consume and process data to find patterns. Those patterns can then offer actionable insight to the business, translating the complex web of big data into something more understandable.
How Does a Business Analyst Differ from a Data Scientist?
- Data scientists develop frameworks, while business analysts use those frameworks to process data. Data scientists are responsible for building and fine-tuning the same systems that business analysts use to draw their conclusions. Business analysts can use data to make assumptions about markets and trends but may not be able to break down the individual processing of each metric they track, which requires data scientists with advanced mathematical skills, such as those offered by the Maryville University online Bachelor of Science in Mathematics.
- Business analysts are more in tune with a business’s big-picture goals, while data scientists focus on the design and functionality of data-gathering frameworks. Data scientists tend to use abstract methods for automating their processes, while business analysts think about the real-world applications of the results. Business analysts implement solutions that the algorithms suggest based on the data.
- Data scientists’ jobs focus heavily on the processing of data through statistical methods. Business analysts assess processed data and communicate with IT and finance departments to see if the solution that the algorithm presents is affordable and feasible. Business analysts tend to have more interaction with people outside of their departments than data scientists.