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Remote Geospatial Intelligence Analyst Jobs in Missouri

Leverage SQL to retrieve, transform and prepare data for robust analyses * Present findings to executive-level digital, marketing and merchandising leadership * Develop best practices for BI and Self ...

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Strong foundation in remote sensing principles and geospatial data processing * Clear communicator ...

Geomatics Analyst

Saint Louis, MO · On-site +1

$56K - $75K/yr

This position plays a critical role in delivering geospatial solutions across the Midwest. The ... lidar, remote sensing, or related field. * 2-3 years' experience with Revit and/or PLS CADD.

Sr. Fraud BI Analyst

Kansas City, MO · On-site +1

$98K - $144K/yr

However, the remote location must be within the US. How you will spend your time: * Design and ... Performs statistical analysis to identify trends and underlying patterns for business insights and ...

... scientist to provide geospatial and imagery expertise and quantitative analysis to make ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

This role offers the chance to work in a fast-paced, fully remote environment where innovation ... Hands-on experience with business intelligence platforms such as Tableau, Power BI, Looker, or ...

GIS Specialist - Entry Level

Rolla, MO · On-site +1

$38K - $40K/yr

In this fully remote, entry-level role, you will be applying your strong knowledge of geospatial ... Ability to be analytical and apply problem solving skills and use critical thinking skills Share ...

Remote. While this is a remote position, occasional on-site attendance may be required as business ... Experience working with business intelligence tools such as Tableau, QlikSense, or similar ...

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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 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 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 the most commonly searched types of Geospatial Intelligence Analyst jobs in Missouri? The most popular types of Geospatial Intelligence Analyst jobs in Missouri are:
What are popular job titles related to Remote Geospatial Intelligence Analyst jobs in Missouri? For Remote Geospatial Intelligence Analyst jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Remote Geospatial Intelligence Analyst jobs? Cities in Missouri with the most Remote Geospatial Intelligence Analyst job openings:
Infographic showing various Remote Geospatial Intelligence Analyst job openings in Missouri as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

Senior Marketing Business Intelligence Analyst (Remote)

Kohl's

Remote

Full-time

Re-posted 26 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,461 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

Role Specific Information

Job Description

About the Role

In this role, you will leverage data to drive strategic decision-making by designing, developing and optimizing scalable BI solutions. You will work closely with cross-functional teams to transform complex datasets into actionable insights, build robust data models and dashboards and enhance data-driven decision-making across the organization.

What You'll Do

  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting

  • Leverage SQL to retrieve, transform and prepare data for robust analyses

  • Present findings to executive-level digital, marketing and merchandising leadership

  • Develop best practices for BI and Self Service

  • Directly query data in the Google Cloud Platform across different environments to prepare data for analytics

  • Institute an environment of ongoing learning and sharing of skills and knowledge to the broader analytics pyramid

  • Be a steward of customer, marketing and digital data and collaborate with IT and business stakeholders on projects related to using data and analytics

  • Additional tasks may be assigned

What Skills You Have

Required

  • 5+ years of experience, preferably working within a digital, IT, marketing, e-commerce or other applicable field or analytics organization

  • Advanced proficiency in SQL

  • Expertise in Qlik, Tableau, PowerBI or Looker Studio

  • Experience in Adobe Clickstream, Adobe Analytics

  • Experience working directly with business stakeholders to translate between data and business needs

  • Highly effective at communicating analysis and data visualizations with a non-technical audience

  • Proven ability to independently determine approaches to efficiently completing projects and managing processes

  • Knowledge of statistical analysis methods

  • Conceptual understanding of Data Mining and Machine Learning methodologies for analytical application

Preferred

  • Degree in Mathematics or Statistics, Economics, Computer Science, Predictive Analytics or similar

  • Experience with an object-oriented programming language (R, Python etc.)

  • Ability to write functions and end-to-end programs

  • Experience with Data Mining and Machine Learning methodologies

  • Experience with Google BigQuery

Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl's may revise this job description at any time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

  • Ability to perform the accountabilities listed in the "What You'll Do" Section

  • Ability to comply with dress code requirements

  • Basic math and reading skills, legible handwriting, and basic computer operation

  • Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company

  • Ability to learn and comply with all company policies, procedures, standards and guidelines

  • Ability to give direction and to receive, understand and proactively respond to direction from leadership and other company personnel

  • Ability to work as part of a team and interact effectively and appropriately with others

  • Ability to maintain composure and work in a fast paced environment while

  • accomplishing multiple tasks within established timeframes

  • Ability to satisfactorily complete company training programs

  • Ability to use a personal computer for tasks such as communicating, preparing reports, etc.

  • Ability to plan, prioritize and monitor activities across business units

  • Ability to complete or oversee the completion of assigned projects in a timely manner


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