Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between cumulative effects analysts and staff analysts can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a cumulative effects analyst and a staff analyst. Additionally, a cumulative effects analyst has an average salary of $105,763, which is higher than the $99,158 average annual salary of a staff analyst.
The top three skills for a cumulative effects analyst include DOD, HR and . The most important skills for a staff analyst are project management, process improvement, and technical support.
| Cumulative Effects Analyst | Staff Analyst | |
| Yearly salary | $105,763 | $99,158 |
| Hourly rate | $50.85 | $47.67 |
| Growth rate | 5% | 11% |
| Number of jobs | 2,128 | 174,178 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 67% | Bachelor's Degree, 68% |
| Average age | 39 | 44 |
| Years of experience | 4 | 4 |
Cumulative effects analysts and staff analysts have different pay scales, as shown below.
| Cumulative Effects Analyst | Staff Analyst | |
| Average salary | $105,763 | $99,158 |
| Salary range | Between $69,000 And $161,000 | Between $71,000 And $136,000 |
| Highest paying City | Harrison, NY | San Francisco, CA |
| Highest paying state | New York | New Jersey |
| Best paying company | Slalom | Bayer |
| Best paying industry | - | Technology |
There are a few differences between a cumulative effects analyst and a staff analyst in terms of educational background:
| Cumulative Effects Analyst | Staff Analyst | |
| Most common degree | Bachelor's Degree, 67% | Bachelor's Degree, 68% |
| Most common major | Psychology | Business |
| Most common college | California State University - Long Beach | Northwestern University |
Here are the differences between cumulative effects analysts' and staff analysts' demographics:
| Cumulative Effects Analyst | Staff Analyst | |
| Average age | 39 | 44 |
| Gender ratio | Male, 46.7% Female, 53.3% | Male, 47.6% Female, 52.4% |
| Race ratio | Black or African American, 3.1% Unknown, 3.7% Hispanic or Latino, 6.2% Asian, 5.0% White, 81.2% American Indian and Alaska Native, 0.8% | Black or African American, 8.0% Unknown, 4.5% Hispanic or Latino, 8.9% Asian, 12.1% White, 66.4% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 16% | 12% |