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Remote Geospatial Intelligence Analyst Jobs in Mississippi

United Soccer League (USL)

$14 - $17.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

United Soccer League (USL)

$14.75 - $18.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

United Soccer League (USL)

$13.75 - $17.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

United Soccer League (USL)

$15.50 - $19.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

United Soccer League (USL)

$15.75 - $19.75/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

United Soccer League (USL)

$15.50 - $19.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

United Soccer League (USL)

$15 - $18.75/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... The Participant will assume an integral role in the production of data analytics and distribution ...

Woolpert

Embedded Systems & LIDAR Software Engineer

Kiln, MS · Remote

$105K - $138K/yr

  • Medical

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  • Vision

  • Life

  • Retirement

  • PTO

... remote sensing platforms. This role serves as the technical bridge between sensor hardware ... Analyze software and sensor performance data to identify improvement opportunities. Technical ...

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Remote Geospatial Intelligence Analyst information

What is a remote geospatial intelligence analyst?

A Remote Geospatial Intelligence Analyst is a professional who analyzes geographic and spatial data to support decision-making, often for government, defense, or commercial organizations, while working from a remote location. They use satellite imagery, maps, and other geospatial data to identify patterns, monitor activities, and provide actionable intelligence. Their work supports missions like disaster response, military operations, urban planning, and environmental monitoring. Remote analysts use specialized software to interpret data and often collaborate with teams through digital platforms. This role requires strong analytical skills, attention to detail, and expertise in geospatial technologies.

What are the key skills and qualifications needed to thrive as a remote geospatial intelligence analyst?

To thrive as a Remote Geospatial Intelligence Analyst, you need a strong background in geography, GIS, remote sensing, and data analysis, typically supported by a relevant bachelor’s degree. Expertise in geospatial software like ArcGIS, ERDAS Imagine, and familiarity with data visualization and imagery analysis tools is essential, along with certifications such as GISP being advantageous. Attention to detail, analytical thinking, and strong communication skills are crucial for interpreting data and conveying complex findings to decision-makers. These skills and qualities are vital for producing accurate, actionable intelligence that supports security, defense, and organizational objectives.

What are some common challenges faced by remote geospatial intelligence analysts, and how can they be addressed?

Remote geospatial intelligence analysts often encounter challenges such as coordinating with dispersed teams, accessing secure data, and maintaining situational awareness without in-person briefings. Overcoming these hurdles typically involves strong communication skills, familiarity with collaborative mapping tools, and adherence to robust cybersecurity protocols. Staying proactive in seeking feedback and clarifying mission objectives with team leads helps ensure accuracy and effective support for decision-makers, even from a remote location.

What is the difference between Remote Geospatial Intelligence Analyst vs Remote GIS Analyst?

AspectRemote Geospatial Intelligence AnalystRemote GIS Analyst
Required CredentialsBachelor's in Geography, GIS, or related field; GIS certifications often preferredBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentGovernment agencies, defense, intelligence, or private sector with security clearanceEnvironmental agencies, urban planning, utilities, or private companies
Industry UsagePrimarily in defense, intelligence, and security sectors
Search & Comparison IntentOften compared for skills, certifications, and work scope

The Remote Geospatial Intelligence Analyst and Remote GIS Analyst roles share similar educational backgrounds and certifications. However, the Intelligence Analyst typically works in security-focused environments, analyzing geospatial data for defense or intelligence purposes, while the GIS Analyst focuses on mapping, urban planning, and environmental projects. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Geospatial Intelligence Analyst jobs in Mississippi?

The most popular types of Geospatial Intelligence Analyst jobs in Mississippi are:

What are popular job titles related to Remote Geospatial Intelligence Analyst jobs in Mississippi?

For Remote Geospatial Intelligence Analyst jobs in Mississippi, the most frequently searched job titles are:

What job categories do people searching Remote Geospatial Intelligence Analyst jobs in Mississippi look for?

The top searched job categories for Remote Geospatial Intelligence Analyst jobs in Mississippi are:

What cities in Mississippi are hiring for Remote Geospatial Intelligence Analyst jobs?

Cities in Mississippi with the most Remote Geospatial Intelligence Analyst job openings:

Remote Geospatial Intelligence Analyst jobs near you

Research Scientist - National Center for Computational Hydroscience and Engineering (NCCHE)

University of Mississippi

Oxford, MS • On-site, Remote

Full-time

Re-posted 6 days ago

University Of Mississippi rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

208th of 619 rated colleges and universities

Job description

The University of Mississippi - fondly referred to as Ole Miss - stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member - student, faculty, and staff - can achieve their fullest potential.

Job Summary:

This position focuses on developing and maintaining computational and geospatial technologies that support agricultural watershed science, water quality assessment, dam-break flood modeling, risk evaluation, and emergency planning. The role emphasizes building decision-support systems and web-based tools, managing large environmental datasets, and enabling data-driven environmental management through advanced modeling, software engineering, and GIS/remote sensing workflows.
It also includes supporting high-performance and Linux-based research computing environments, contributing to scientific communication (journal articles, technical reports, and conference presentations), and collaborating with interdisciplinary teams and stakeholders. In addition, the role supports grant proposal development and may include leading external research efforts.

Job Description:

Essential Duties/ Responsibilities:
  • Develop computational models, software tools, and web-based decision support systems for agricultural watershed processes, water quality assessment, dam-break flood modeling, risk assessment, and emergency planning.
  • Develop and maintain scientific software, geospatial applications, databases, and computational workflows using programming languages such as FORTRAN, C++, Python, R, and related technologies.
  • Design, develop, and maintain geospatial databases, web mapping applications, decision-support systems, and cloud- or cluster-based cyberinfrastructure to support environmental modeling, visualization, and data dissemination.
  • Manage and process large environmental and hydrologic datasets using GIS, remote sensing, spatial databases, and geospatial analysis tools.
  • Support high-performance computing, Linux-based research computing environments, automation workflows, and related computational infrastructure required for environmental modeling and data-intensive research.
  • Participate in and lead external research grant proposal development.
  • Participate in and lead peer-reviewed journal publications, technical reports, and scientific conference presentations.
  • Collaborate with interdisciplinary teams of scientists, engineers, and stakeholders to develop innovative solutions for water resources and environmental management challenges.

Job Responsibilities:

Preferred Experience, Knowledge, Skills & Abilities:
  • Experience in developing computational models, decision-support systems, and web-based tools for hydrologic, hydraulic, watershed, water quality, and environmental management.
  • Experience in scientific programming (e.g., FORTRAN, C++, Python, R), software development, computer systems, and computational infrastructure for environmental and geospatial applications..
  • Experience in geospatial analysis and environmental data management using GIS, remote sensing, spatial databases, and web-based geospatial technologies.
  • Experience with database design, administration, and optimization, including PostgreSQL/PostGIS and large-scale spatial data processing.
  • Experience in developing and deploying geospatial web services, map servers, and cloud- or cluster-based computing environments for environmental modeling and visualization.
  • Experience with Linux system administration, high-performance computing (HPC), virtualization, automation, and research computing infrastructure.
  • Excellent oral, written, and presentation skills (both technical and non-technical).
  • Experience in AIMS and/or DSS-WISE modeling and decision support systems is preferred.
Education:
  • Ph.D. in Computational Hydroscience and Engineering, or a closely related discipline. The PhD degree should be already received or about to be received at the end of the current semester.

* This position is fully or partially funded by external research grants. Continued employment is contingent upon satisfactory performance and the ongoing availability of funding.


** Applicants are requested to attach a Resume/CV with their application.

Education Qualifications:

PhD (Required)

Experience:

Interview Requirement:

Interview Requirements: Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

EEO Statement:

The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.

Background Check Statement:

The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

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