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The differences between geospatial analysts and operational intelligence 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 geospatial analyst and an operational intelligence analyst. Additionally, an operational intelligence analyst has an average salary of $73,081, which is higher than the $62,823 average annual salary of a geospatial analyst.
The top three skills for a geospatial analyst include geospatial data, geospatial analysis and remote sensing. The most important skills for an operational intelligence analyst are TS/SCI, IC, and combat.
| Geospatial Analyst | Operational Intelligence Analyst | |
| Yearly salary | $62,823 | $73,081 |
| Hourly rate | $30.20 | $35.14 |
| Growth rate | 3% | 3% |
| Number of jobs | 1,496 | 11,643 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 51% |
| Average age | 44 | 44 |
| Years of experience | 4 | 4 |
Geospatial analysts and operational intelligence analysts have different pay scales, as shown below.
| Geospatial Analyst | Operational Intelligence Analyst | |
| Average salary | $62,823 | $73,081 |
| Salary range | Between $48,000 And $81,000 | Between $49,000 And $107,000 |
| Highest paying City | Annapolis, MD | - |
| Highest paying state | Maryland | - |
| Best paying company | Gap Inc. | - |
| Best paying industry | Professional | - |
There are a few differences between a geospatial analyst and an operational intelligence analyst in terms of educational background:
| Geospatial Analyst | Operational Intelligence Analyst | |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 51% |
| Most common major | Geography | Intelligence Operations |
| Most common college | University of Southern California | The Citadel |
Here are the differences between geospatial analysts' and operational intelligence analysts' demographics:
| Geospatial Analyst | Operational Intelligence Analyst | |
| Average age | 44 | 44 |
| Gender ratio | Male, 73.0% Female, 27.0% | Male, 76.0% Female, 24.0% |
| Race ratio | Black or African American, 12.9% Unknown, 5.0% Hispanic or Latino, 14.6% Asian, 2.9% White, 63.9% American Indian and Alaska Native, 0.7% | Black or African American, 11.8% Unknown, 5.0% Hispanic or Latino, 16.8% Asian, 2.8% White, 62.9% American Indian and Alaska Native, 0.7% |
| LGBT Percentage | 9% | 9% |