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Remote Geospatial Intelligence Analyst Jobs in Connecticut

United Soccer League (USL)

$16.75 - $21/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)

$16 - $20.25/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)

$16 - $20.25/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 ...

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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 Connecticut?

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

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

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

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

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

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

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

Remote Geospatial Intelligence Analyst jobs near you
Infographic showing various Remote Geospatial Intelligence Analyst job openings in Connecticut 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.

Remote Conversational Intelligence Analyst

ACC PREMIERE

Southington, CT • Remote

Full-time

Posted 23 days ago

Job description

Conversational Intelligence Analyst

A conversational intelligence analyst evaluates customer and agent omni channel interactions using AI and natural language processing to extract intent, sentiment, and behavioral trends that drive business strategy, product development, and operational performance.

We are seeking a data-driven and analytical Conversational Intelligence Analyst to join our innovations team.

In this role, you will uncover actionable insights regarding customer sentiment, operational bottlenecks, and compliance trends. Your findings will directly influence product development, marketing strategies, and customer experience (CX) optimization.

**This is a remote position, but if you live within driving distance of one of our locations, you may be required to come into the office on occasion. This will be discussed with candidates that this applies to.**

Key Responsibilities

  • Data Synthesis: Extract, clean, and organize unstructured conversation logs into structured data frameworks.
  • Insight Generation: Track specific customer pain points, competitor mentions, and product feature feedback using NLP queries.
  • Dashboard Design: Create, maintain, and automate operational dashboards in BI tools (e.g., Tableau, Power BI) to display key performance indicators (KPIs) like customer satisfaction (CSAT) and script adherence.
  • Cross-Functional Collaboration: Partner closely with Customer Support, Product, and Quality Assurance teams to turn conversational data into specific workflow improvements.
  • Model Optimization: Train, refine, and maintain the accuracy of speech-to-text categorization models and automated sentiment rules.

Core Responsibilities

  • Data Mining & Transcription: Convert large volumes of unstructured audio and text logs into clean, searchable data Including creating flags/tags based on search criteria and questions from client teams.
  • Sentiment & Intent Tracking: Identify emotional shifts, customer pain points, and competitor mentions.
  • Dashboard & Report Building: Design operational reporting (often via tools like Tableau/PowerBI) to visualize metrics like script adherence and customer satisfaction (CSAT).
  • Process Optimization: Partner with operations and product teams to translate conversation trends into actionable business changes.

Key Tools & Technologies

  • Speech-to-Text & NLP Engines: Systems like CallMiner
  • Data Visualization: Advanced SQL and BI tools like Tableau or PowerBI.
  • CX Platforms: Enterprise analytics suites from vendors like Medallia or Genesys
  • AI Prompting: Ability to leverage syntax and AI assistants to create prompts.

Required Qualifications

  • Experience: 2–5 years of experience in data analytics, customer experience analytics, or business intelligence.
  • Technical Skills: Strong proficiency in SQL and experience building visualizations in Tableau or Power BI.
  • Platform Knowledge: Experience with speech/text analytics engines (e.g. CallMiner, Medallia, et al).
  • Communication: Ability to translate complex, quantitative datasets into clear, narrative-driven business recommendations for non-technical leadership.

Must be authorized to work in the US - No sponsorship available at this time.

EEO Statement:

ACC Premiere is an equal-opportunity employer. We consider applicants for all positions without regard to race, color, religion, creed, gender, national origin, ancestry, age, disability, veteran status, or any other status legally protected by federal, state, or local law.

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