Comparing Business Intelligence and Data Science Salaries: Which Pays Better?
When it comes to career choices, salary is a significant factor that cannot be ignored. Two popular job roles that are often compared for their salaries are Business Intelligence (BI) and Data Science (DS). Both of these roles require analytical and technical skills but are different in terms of their primary focus. BI deals with analyzing existing data to make informed business decisions, while DS deals with collecting, cleaning, and analyzing data to uncover insights and patterns. So, which job role pays better? Let’s find out.
Understanding BI and DS Salaries
Before comparing the salaries, it’s essential to understand how these salaries are calculated. According to Glassdoor, the salary for any job role is based on various factors such as location, experience, skills, and company size. BI and DS salaries are no different, and these factors play a significant role in determining the salary.
Comparing Salaries
Based on the Glassdoor data, the average salary for a BI Analyst in the United States is $73,000 per year, with the lowest reported salary being $51,000 per year, and the highest reported salary being $113,000 per year. In contrast, the average salary for a Data Scientist in the United States is $108,000 per year, with the lowest reported salary being $85,000 per year, and the highest reported salary being $154,000 per year.
Looking at the numbers, it’s clear that DS jobs pay significantly higher than BI jobs. However, it’s important to consider the factors that contribute to these salaries.
Factors Affecting Salaries
One major factor is experience. Data Science is a relatively new field and requires specialized skills in machine learning, analytical modeling, and statistical analysis. Therefore, experienced Data Scientists are in high demand and can command high salaries. In contrast, BI Analysts typically require less experience and have a more traditional background in business and finance.
Another factor is location. Salaries vary drastically depending on the city and state. For example, the average salary for a BI Analyst in San Francisco, California, is $92,000 per year, while it is $65,000 per year in Dallas, Texas. Similarly, the average salary for a Data Scientist in New York City is $135,000 per year, while it is $95,000 per year in Atlanta, Georgia.
Conclusion
In conclusion, Data Science jobs pay significantly more than Business Intelligence jobs, with the average salary for a Data Scientist being $35,000 per year higher than the average salary for a BI Analyst. However, it’s important to note that these salaries vary based on several factors, such as experience, location, and company size. Individuals looking to pursue a career in either field should research the job market in their area and consider the skills and experience required to negotiate a fair salary.
