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Remote Geospatial Intelligence Analyst Jobs in Delaware

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Sales Analyst (Mid-Atlantic Region)

Newark, DE · Remote

$64K - $80K/yr

Time Type: Full time Remote Type: Job Family Group: Sales Summary: The Sales Analyst is responsible ... The Analyst contributes to planning meetings, delivering market intelligence to guide strategies.

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Sales Analyst (Mid-Atlantic Region)

Claymont, DE · Remote

$64K - $80K/yr

Time Type: Full time Remote Type: Job Family Group: Sales Summary: The Sales Analyst is responsible ... The Analyst contributes to planning meetings, delivering market intelligence to guide strategies.

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Sales Analyst (Mid-Atlantic Region)

Dover, DE · Remote

$64K - $80K/yr

Time Type: Full time Remote Type: Job Family Group: Sales Summary: The Sales Analyst is responsible ... The Analyst contributes to planning meetings, delivering market intelligence to guide strategies.

Dutch

Virtual Care Veterinarian (Remote)

Wilmington, DE · Remote

$50 - $80/hr

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Dutch

Virtual Care Veterinarian (Remote)

Dover, DE · Remote

$50 - $80/hr

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

AO Garcia Agency

Seeking Veterans to Serve Veterans

Bear, DE · Remote

$19.50 - $24/hr

Flexible Schedule with Weekly Pay 100% Remote Position Weekly Trainings lead by Top Leaders ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

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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, and why are they important?

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 Delaware? The most popular types of Geospatial Intelligence Analyst jobs in Delaware are:
What are popular job titles related to Remote Geospatial Intelligence Analyst jobs in Delaware? For Remote Geospatial Intelligence Analyst jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Geospatial Intelligence Analyst jobs in Delaware look for? The top searched job categories for Remote Geospatial Intelligence Analyst jobs in Delaware are:
What cities in Delaware are hiring for Remote Geospatial Intelligence Analyst jobs? Cities in Delaware with the most Remote Geospatial Intelligence Analyst job openings:
Remote Geospatial Intelligence Analyst jobs near you

Senior Director, Marketing Data Strategy (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Posted 12 days ago

Job description

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
We're looking for a leader who wants to help build the future of marketing data strategy at Forbes Digital Marketing. Our Data & Analytics organisation sits at the heart of our mission. We build the products, platforms and intelligence that power marketing, commercial decision making, customer understanding and revenue growth across the business. As we continue to invest in first-party data, machine learning, marketing technology and AI, we're looking for a senior leader to help define the next phase of that journey.
This is not a traditional data leadership role. Working directly with the VP of Data Strategy, you'll act as a trusted technical counterpart - bringing deep expertise, challenging thinking, and helping shape strategic decisions across our marketing data ecosystem. You'll join an established leadership team spanning Engineering, Analytics, Data Science and Operations, helping define how customer data, marketing measurement, attribution, analytics and AI come together to improve business performance. You'll also act as a senior technical counterpart to key technology partners, helping ensure our strategy evolves alongside the wider marketing ecosystem.
If you're motivated by solving complex commercial problems, challenging conventional thinking, building products rather than projects, and helping organisations use data more effectively, we'd love to hear from you.
Responsibilities:
  • Marketing Measurement & Attribution: Help define how we measure marketing performance across channels and ensure that our measurement strategy enables better commercial decisions.
  • Customer Intelligence & First-Party Data: Help shape how customer data is collected, organised and activated across the business.
  • Marketing Platforms & Activation: Ensure our marketing platforms receive the right data to optimise effectively and maximise commercial performance.
  • Data Products & Decision Intelligence: Help move the organisation from one-off analysis towards reusable products and decision-support capabilities.
  • Strategic Leadership: Challenge assumptions and influence the future direction of our marketing data strategy.
  • Team Leadership & Capability Building: Play an important role in building and developing the next generation of leaders across Data & Analytics.

Requirements:
We're deliberately not looking for someone who has done everything. Instead, you'll bring deep expertise in one or more of our strategic domains together with the ability to collaborate across the wider marketing data ecosystem.
You'll likely bring:
  • Experience leading strategic marketing data, customer intelligence, analytics or data product initiatives that delivered measurable business outcomes.
  • Deep expertise in at least one of the following:
  • Marketing measurement and attribution
  • Customer intelligence and first-party data
  • Applied data science and predictive modelling
  • Marketing platforms and activation
  • Data products and decision intelligence
  • A track record of building products, platforms or capabilities that deliver measurable commercial outcomes.
  • Deep understanding of Performance Marketing
  • Strong commercial judgement and the ability to prioritise initiatives based on business value.
  • Confidence influencing senior stakeholders across both technical and non-technical audiences.
  • Experience developing teams, coaching leaders and building organisational capability.
  • Curiosity about emerging technologies - particularly AI - and a pragmatic approach to applying them where they create genuine business value.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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