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The differences between business intelligence analysts and data scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a business intelligence analyst and a data scientist. Additionally, a data scientist has an average salary of $106,104, which is higher than the $80,249 average annual salary of a business intelligence analyst.
The top three skills for a business intelligence analyst include business intelligence, analytics and power bi. The most important skills for a data scientist are python, data science, and visualization.
| Business Intelligence Analyst | Data Scientist | |
| Yearly salary | $80,249 | $106,104 |
| Hourly rate | $38.58 | $51.01 |
| Growth rate | 21% | 16% |
| Number of jobs | 124,916 | 106,973 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 68% | Bachelor's Degree, 51% |
| Average age | 44 | 41 |
| Years of experience | 4 | 4 |
The primary job of business intelligence (BI) analysts is to analyze data and identify areas of improvement for an organization. These professionals are responsible for identifying trends that may help managers, executives, and other departments make better decisions to improve company processes and modernization. Other duties include identifying areas of revenue loss and ways to maximize profit, analyzing competitors' use of BI, and implementing new methodologies and data analysis. This role is particularly analytical and needs a balance of communication, information technology, and problem-solving skills.
A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.
Business intelligence analysts and data scientists have different pay scales, as shown below.
| Business Intelligence Analyst | Data Scientist | |
| Average salary | $80,249 | $106,104 |
| Salary range | Between $59,000 And $107,000 | Between $75,000 And $148,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | New Hampshire | California |
| Best paying company | The Citadel | The Citadel |
| Best paying industry | Start-up | Start-up |
There are a few differences between a business intelligence analyst and a data scientist in terms of educational background:
| Business Intelligence Analyst | Data Scientist | |
| Most common degree | Bachelor's Degree, 68% | Bachelor's Degree, 51% |
| Most common major | Business | Computer Science |
| Most common college | University of Pennsylvania | Columbia University in the City of New York |
Here are the differences between business intelligence analysts' and data scientists' demographics:
| Business Intelligence Analyst | Data Scientist | |
| Average age | 44 | 41 |
| Gender ratio | Male, 65.5% Female, 34.5% | Male, 79.6% Female, 20.4% |
| Race ratio | Black or African American, 6.2% Unknown, 4.7% Hispanic or Latino, 8.8% Asian, 12.0% White, 67.7% American Indian and Alaska Native, 0.5% | Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6% |
| LGBT Percentage | 11% | 9% |