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The differences between software validation engineers and software analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a software validation engineer, becoming a software analyst takes usually requires 4-6 years. Additionally, a software validation engineer has an average salary of $93,590, which is higher than the $78,400 average annual salary of a software analyst.
The top three skills for a software validation engineer include C++, C # and python. The most important skills for a software analyst are java, C++, and software development.
| Software Validation Engineer | Software Analyst | |
| Yearly salary | $93,590 | $78,400 |
| Hourly rate | $45.00 | $37.69 |
| Growth rate | 21% | 9% |
| Number of jobs | 243,875 | 274,053 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 70% | Bachelor's Degree, 71% |
| Average age | 39 | 43 |
| Years of experience | 4 | 6 |
Software validation engineers and software analysts have different pay scales, as shown below.
| Software Validation Engineer | Software Analyst | |
| Average salary | $93,590 | $78,400 |
| Salary range | Between $73,000 And $119,000 | Between $61,000 And $99,000 |
| Highest paying City | Foster City, CA | San Francisco, CA |
| Highest paying state | California | Oregon |
| Best paying company | Apple | ConocoPhillips |
| Best paying industry | Health Care | Manufacturing |
There are a few differences between a software validation engineer and a software analyst in terms of educational background:
| Software Validation Engineer | Software Analyst | |
| Most common degree | Bachelor's Degree, 70% | Bachelor's Degree, 71% |
| Most common major | Electrical Engineering | Computer Science |
| Most common college | Harvard University | Stanford University |
Here are the differences between software validation engineers' and software analysts' demographics:
| Software Validation Engineer | Software Analyst | |
| Average age | 39 | 43 |
| Gender ratio | Male, 70.9% Female, 29.1% | Male, 67.7% Female, 32.3% |
| Race ratio | Black or African American, 4.5% Unknown, 4.8% Hispanic or Latino, 8.3% Asian, 29.9% White, 52.4% American Indian and Alaska Native, 0.2% | Black or African American, 10.1% Unknown, 5.0% Hispanic or Latino, 10.9% Asian, 17.2% White, 56.6% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 8% | 8% |