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The differences between statistical engineers and supplier quality engineers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a statistical engineer and a supplier quality engineer. Additionally, a statistical engineer has an average salary of $85,078, which is higher than the $83,182 average annual salary of a supplier quality engineer.
The top three skills for a statistical engineer include measurement system analysis, minitab and SQL. The most important skills for a supplier quality engineer are sigma, ISO, and PPAP.
| Statistical Engineer | Supplier Quality Engineer | |
| Yearly salary | $85,078 | $83,182 |
| Hourly rate | $40.90 | $39.99 |
| Growth rate | 10% | 10% |
| Number of jobs | 15,932 | 76,104 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 76% | Bachelor's Degree, 68% |
| Average age | 42 | 42 |
| Years of experience | 4 | 4 |
Statistical engineers and supplier quality engineers have different pay scales, as shown below.
| Statistical Engineer | Supplier Quality Engineer | |
| Average salary | $85,078 | $83,182 |
| Salary range | Between $63,000 And $114,000 | Between $64,000 And $107,000 |
| Highest paying City | San Francisco, CA | Foster City, CA |
| Highest paying state | Washington | California |
| Best paying company | Intel | Meta |
| Best paying industry | - | Professional |
There are a few differences between a statistical engineer and a supplier quality engineer in terms of educational background:
| Statistical Engineer | Supplier Quality Engineer | |
| Most common degree | Bachelor's Degree, 76% | Bachelor's Degree, 68% |
| Most common major | Mechanical Engineering | Mechanical Engineering |
| Most common college | Johns Hopkins University | Northwestern University |
Here are the differences between statistical engineers' and supplier quality engineers' demographics:
| Statistical Engineer | Supplier Quality Engineer | |
| Average age | 42 | 42 |
| Gender ratio | Male, 85.9% Female, 14.1% | Male, 80.5% Female, 19.5% |
| Race ratio | Black or African American, 4.6% Unknown, 3.9% Hispanic or Latino, 11.3% Asian, 12.3% White, 67.6% American Indian and Alaska Native, 0.2% | Black or African American, 4.7% Unknown, 3.9% Hispanic or Latino, 11.5% Asian, 11.7% White, 68.1% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 4% | 4% |