Data analyst
The role of a data analyst is to improve business operations. They are mostly concerned about enhancing business activities. For example, how many products are catching customers’ attention, and why some products failed to achieve customer satisfaction. To achieve this goal, they perform data extraction and visualize results in front of the business decision-makers. Most importantly, they make sure the business operation follows key KPIs, searching for abnormalities and irregularities in the business operation.
- They perform data monitoring and analyze the irregularities.
- Create a statistical dimension of data to support business growth.
- Learn about the future business direction.
- Most concerned about the growth potential for the business domain.
The person responsible for data analysis must understand how to operate SQL, Hive, Python, or R. In addition, for visualization, he must know popular visualization tools such as Tableau. If you want to acquire a data analysis position, you should have majors in mathematics, statistics, and computer science.
Business Analyst
The role of a business analyst is different from that of a data analyst. These people mostly deal with higher-level managers, such as CEOs, CFOs, and other key-level executives. They are mostly concerned about the strategic growth of business and interpreting business changes. Create reports about the market developments, industry conditions, and how businesses behave against the national policy changes.
The business analyst used information analysis methods such as the Boston Matrix and RFM and provided key solutions for specific business scenarios. Excel, Python, and R are the common tools for them, and most business analysts have majors in mathematics, statistics, economics, and business administration.
Data Scientist
Compared to data analysts and business analysts, the data scientist has a wider role. They have a strong foundation in programming, modeling, software engineering, and artificial intelligence. They are more focused on algorithms’ development and converting them into code. These people often have doctoral degrees and majors in science, engineering, mathematics, and statistics. They create ideas to generate algorithms to solve business problems and apply financial knowledge to improve business operations.
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