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The differences between scientific informatics analysts and data analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 4-6 years to become a scientific informatics analyst, becoming a data analyst takes usually requires 2-4 years. Additionally, a scientific informatics analyst has an average salary of $78,458, which is higher than the $74,342 average annual salary of a data analyst.
The top three skills for a scientific informatics analyst include project management, data analysis and tableau. The most important skills for a data analyst are data analysis, python, and power bi.
| Scientific Informatics Analyst | Data Analyst | |
| Yearly salary | $78,458 | $74,342 |
| Hourly rate | $37.72 | $35.74 |
| Growth rate | 9% | 11% |
| Number of jobs | 39,575 | 167,520 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 59% | Bachelor's Degree, 65% |
| Average age | 43 | 44 |
| Years of experience | 6 | 4 |
A scientific informatics analyst is in charge of providing analytical services, focusing on a company's extensive scientific data. Among their responsibilities include designing and developing tools and systems to organize and secure data, identifying the strengths and weaknesses of current procedures, performing research and analysis to determine ideal practices, and recommending solutions against problem areas. They may also perform clerical tasks such as answering inquiries, managing project timelines, and maintaining databases. Moreover, a scientific informatics analyst must manage staff, monitoring their progress while implementing the company's policies and regulations.
Data analysts are responsible for interpreting the company's statistics and providing sound recommendations to the organization. They manage the organization's data sets, usually related to market performance, finance, or human resources. They are in charge of studying the available data, spotting trends, interpreting what the data and the trends mean, and recommending suggestions that will help the organization perform better. Their recommendations should also be relevant and backed up with strong analyses. Data analysts are expected to have a good grasp of the current market trends in the industry.
Scientific informatics analysts and data analysts have different pay scales, as shown below.
| Scientific Informatics Analyst | Data Analyst | |
| Average salary | $78,458 | $74,342 |
| Salary range | Between $61,000 And $100,000 | Between $53,000 And $103,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | New Jersey | New Jersey |
| Best paying company | Genentech | The Citadel |
| Best paying industry | Finance | Finance |
There are a few differences between a scientific informatics analyst and a data analyst in terms of educational background:
| Scientific Informatics Analyst | Data Analyst | |
| Most common degree | Bachelor's Degree, 59% | Bachelor's Degree, 65% |
| Most common major | Nursing | Business |
| Most common college | University of Pennsylvania | Northwestern University |
Here are the differences between scientific informatics analysts' and data analysts' demographics:
| Scientific Informatics Analyst | Data Analyst | |
| Average age | 43 | 44 |
| Gender ratio | Male, 37.1% Female, 62.9% | Male, 50.2% Female, 49.8% |
| Race ratio | Black or African American, 10.6% Unknown, 5.0% Hispanic or Latino, 11.3% Asian, 14.4% White, 58.5% American Indian and Alaska Native, 0.2% | Black or African American, 7.5% Unknown, 4.4% Hispanic or Latino, 8.5% Asian, 14.5% White, 64.9% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 8% | 12% |