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The differences between 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 an analyst and a data scientist. Additionally, a data scientist has an average salary of $106,104, which is higher than the $73,007 average annual salary of an analyst.
The top three skills for an analyst include customer service, troubleshoot and data analysis. The most important skills for a data scientist are python, data science, and visualization.
| Analyst | Data Scientist | |
| Yearly salary | $73,007 | $106,104 |
| Hourly rate | $35.10 | $51.01 |
| Growth rate | 11% | 16% |
| Number of jobs | 253,138 | 106,973 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 67% | Bachelor's Degree, 51% |
| Average age | 44 | 41 |
| Years of experience | 4 | 4 |
Analysts are employees or individual contributors with a vast experience in a particular field that help the organization address challenges. They help the organization improve processes, policies, and other operations protocol by studying the current processes in place and determining the effectiveness of those processes. They also research industry trends and data to make sound inferences and recommendations on what the company should do to improve their numbers. Analysts recommend business solutions and often help the organization roll out these solutions. They ensure that the proposed action plans are effective and produce the desired results.
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.
Analysts and data scientists have different pay scales, as shown below.
| Analyst | Data Scientist | |
| Average salary | $73,007 | $106,104 |
| Salary range | Between $53,000 And $99,000 | Between $75,000 And $148,000 |
| Highest paying City | Jersey City, NJ | Richmond, CA |
| Highest paying state | New Jersey | California |
| Best paying company | The Citadel | The Citadel |
| Best paying industry | Technology | Start-up |
There are a few differences between an analyst and a data scientist in terms of educational background:
| Analyst | Data Scientist | |
| Most common degree | Bachelor's Degree, 67% | Bachelor's Degree, 51% |
| Most common major | Business | Computer Science |
| Most common college | Northwestern University | Columbia University in the City of New York |
Here are the differences between analysts' and data scientists' demographics:
| Analyst | Data Scientist | |
| Average age | 44 | 41 |
| Gender ratio | Male, 52.4% Female, 47.6% | Male, 79.6% Female, 20.4% |
| Race ratio | Black or African American, 7.4% Unknown, 4.4% Hispanic or Latino, 8.5% Asian, 14.3% White, 65.2% American Indian and Alaska Native, 0.2% | 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 | 12% | 9% |