| Job Status : |
Full Time, Employee |
| Company : |
SAIC, Inc. |
| Posting Date : |
January 31 |
| Closing Date : |
OPEN |
| Relevant Experience : |
4 Year(s) |
| Number of Positions : |
1 |
| Location : |
Charlottesville, Virginia |
| Category : |
GIS
Remote Sensing
Research and Analysis
|
| Reference Number : |
204485 |
|
SAIC, Inc.Geospatial AnalystSAIC is seeking Geospatial Analysts to support the US Army’s Constant Hawk program.
Individual will work as part of a team to perform geospatial analysis in support of data derived from the Constant Hawk program Analyst will work FMV, SIGINT and All-Source analysts to produce integrated products.
Primary Responsibilities
Exceptional candidate must have a solid understanding of Geospatial analysis in support of the NGIC’s Constant Hawk program. Team member providing direct support to forward operating personnel. As a member of this team, the successful candidate will perform GEOINT analysis leading to the production and dissemination of geospatial intelligence in support of Constant Hawk data. The successful candidate will produce standard geospatial and image data products as well as respond to Requests for Information (RFIs) through the development of custom products. The analyst will apply a range of intelligence analytical tradecraft practices to discover, research, analyze, and deliver direct intelligence support to the Warfighter, policymakers, and the Intelligence Community. As a member of this team, the successful candidate may also provide situational awareness to analysts and customers through the assembly of daily intelligence documents, briefings, and datasets.
Qualifications:
Minimum Required Education and Experience
A high school diploma and 4+ years related work experience.
The successful candidate must possess previous experience as a Geospatial Analyst, preferably in support of Intelligence Community missions and national security objectives. Candidates must demonstrate expertise with foundation applications and tools including ArcGIS, ERDAS Imagine, Remote View, FalconView, NES, IESS, IPL, MET, SocetGXP, and the use of multiple data formats (e.g. PDF, shape files, image files, etc.). Additionally, successful candidates will be required to complete important assignments on a short schedule, learn quickly, and possess the ability to accomplish tasks under limited supervision. The successful candidate must possess a strong attention to detail where the high quality and absolute reliability of intelligence products is essential. 
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