A Geospatial Intelligence Analyst gathers and analyzes geospatial data from multiple sources, providing critical intelligence and situational awareness to support military operations, national security, and disaster response.
Potential Lateral Jobs
Geospatial Intelligence Analyst
$69,852 / year
The average salary for Geospatial Intelligence Analyst is $69,852 / year according to Glassdoor.com
There are no updated reports for Geospatial Intelligence Analyst salaries. You can check potential lateral job opportunities in this information stack to find related salary information.
Geospatial Intelligence Analyst role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.
As a Geospatial Intelligence Analyst, you will be responsible for analyzing and interpreting geospatial data to support intelligence operations and national security. You will need strong knowledge of GIS (Geographic Information System) software, remote sensing techniques, and data analysis. Proficiency in programming languages such as Python or R is essential. Strong analytical and problem-solving skills are also important, as you will be responsible for extracting valuable intelligence from geospatial data.
The following text about the Job role of Geospatial Intelligence Analyst has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.
The Geospatial Intelligence Analyst is a key member of the Geospatial Intelligence Team within the Intelligence Community. This position is responsible for the analysis and interpretation of geospatial data to support the production of intelligence products. The analyst will use a variety of tools and methods to collect, process, and analyze geospatial data, including satellite imagery, aerial imagery, and other types of data. The analyst will also be responsible for the development of intelligence products, such as reports, briefings, and maps, that are based on the analysis of geospatial data.
The most important skills for a Geospatial Intelligence Analyst include:
The ability to use a variety of tools and methods to collect, process, and analyze geospatial data, including satellite imagery, aerial imagery, and other types of data
The ability to develop intelligence products, such as reports, briefings, and maps, that are based on the analysis of geospatial data
The ability to work effectively with a team of analysts and other professionals
The ability to communicate complex ideas in a clear and concise manner
The ability to think critically and solve problems
Some of the specific tasks that a Geospatial Intelligence Analyst may be responsible for include:
Collecting and processing geospatial data from a variety of sources, including satellite imagery, aerial imagery, and other types of data
Analyzing and interpreting geospatial data to support the production of intelligence products
Developing intelligence products, such as reports, briefings, and maps, that are based on the analysis of geospatial data
Providing support to other analysts and professionals in the Intelligence Community
Maintaining a high level of accuracy and precision in all work
Adhering to all applicable standards and procedures
The Geospatial Intelligence Analyst is a challenging and rewarding position that requires a strong foundation in geospatial analysis and interpretation. The analyst must be able to work effectively with a team of analysts and other professionals, as well as communicate complex ideas in a clear and concise manner. The analyst must also be able to think critically and solve problems, and maintain a high level of accuracy and precision in all work.
Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.
Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.
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The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.
The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud.
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.
Geographic Information Systems (GIS) Specialization
We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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