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Remote Intelligence Analyst Jobs in Howell, MI (NOW HIRING)

$95K - $120K/yr

Analyze financial statements, operational exposures, bond obligations, and risk mitigation factors ... Utilize marketplace and competitor intelligence to enhance decision-making and strengthen producer ...

Remote Intelligence Analyst information

See Howell, MI salary details

$38.4K

$93.6K

$144.6K

How much do remote intelligence analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote intelligence analyst in Howell, MI is $93,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $112,800.00 per year, depending on experience, location, and employer.

What is a Remote Intelligence Analyst?

A Remote Intelligence Analyst is a professional who gathers, evaluates, and interprets information from various sources to support decision-making, typically for organizations focused on security, defense, or business intelligence. They work from a remote location, using digital tools to analyze data, produce reports, and provide actionable insights. This role often involves monitoring trends, assessing threats, and collaborating with teams virtually to inform strategy or operations. Remote Intelligence Analysts must have strong analytical skills, attention to detail, and proficiency with specialized software. Their work is crucial for organizations that require timely and accurate intelligence while allowing flexibility in work location.

What Does a Remote Intelligence Analyst Do?

As a remote intelligence analyst, your primary responsibilities are to provide analysis of intelligence information and report on your findings, all while you work from home. You review information or data and offer a comprehensive understanding that gets turned into strategies. Your duties require you to research subjects, identify risks, and create detailed reports. You can find remote intelligence analyst jobs in the government, military, private businesses, non-governmental organizations, and think tanks. Many intelligence analyst positions involve international subjects and specialize in specific areas such as cybersecurity, technology, engineering, and regions of the world.

What is the difference between Remote Intelligence Analyst vs Remote Data Analyst?

AspectRemote Intelligence AnalystRemote Data Analyst
Required CredentialsBachelor's in Intelligence, Security, or related field; often security clearanceBachelor's in Data Science, Statistics, or related field; certifications like CAP or Microsoft Certified
Work EnvironmentGovernment agencies, defense, intelligence firmsCorporations, consulting firms, tech companies
Employer & Industry UsagePrimarily government and defense sectorsBusiness, finance, healthcare, tech industries
Common Search & ComparisonYesNo

Remote Intelligence Analysts focus on security, national defense, and intelligence gathering, often requiring security clearances. Remote Data Analysts analyze large datasets to inform business decisions across various industries. While both roles involve data analysis skills, their work environments and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Intelligence Analyst, and why are they important?

To thrive as a Remote Intelligence Analyst, you need strong analytical abilities, critical thinking, and a background in intelligence studies or a related field. Familiarity with data analysis tools, intelligence databases, and secure communication platforms is typically required, and certifications such as Security+ or Certified Intelligence Analyst may be beneficial. Exceptional written communication, attention to detail, and discretion are key soft skills for synthesizing information and collaborating securely with teams. These skills are vital for producing accurate, actionable intelligence while maintaining security and effectiveness in a remote setting.

How do Remote Intelligence Analysts typically collaborate with team members and stakeholders despite working off-site?

Remote Intelligence Analysts frequently use secure communication platforms, such as encrypted messaging, video conferences, and shared digital workspaces, to collaborate with colleagues and share findings. They often attend regular virtual meetings to discuss ongoing cases, coordinate research efforts, and provide updates to both internal teams and external partners. Maintaining clear and timely communication is essential, as remote analysts must ensure their insights are effectively integrated into decision-making processes even when not physically present.
What are the most commonly searched types of Intelligence Analyst jobs in Howell, MI? The most popular types of Intelligence Analyst jobs in Howell, MI are:
What are popular job titles related to Remote Intelligence Analyst jobs in Howell, MI? For Remote Intelligence Analyst jobs in Howell, MI, the most frequently searched job titles are:
What job categories do people searching Remote Intelligence Analyst jobs in Howell, MI look for? The top searched job categories for Remote Intelligence Analyst jobs in Howell, MI are:
What cities near Howell, MI are hiring for Remote Intelligence Analyst jobs? Cities near Howell, MI with the most Remote Intelligence Analyst job openings:
Infographic showing various Remote Intelligence Analyst job openings in Howell, MI as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $93,632 per year, or $45 per hour.
Analyst 2, Data Analytics & Business Intelligence

Analyst 2, Data Analytics & Business Intelligence

Comcast

Plymouth, MI โ€ข On-site, Remote

$66K - $109K/yr

Full-time

Posted 4 days ago


Job description

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources. Retrieves, analyzes and summarizes business, operations, employee, customer and/or economic data in order to develop business intelligence, optimize effectiveness, predict business outcomes and decision-making purposes. Involved with numerous key business decisions by conducting the analyses that inform our business strategy.This may include impact measurement of new products or features via normalization techniques, optimization of business processes through robust A/B testing, clustering or segmentation of customers to identify opportunities of differentiated treatment, deep dive analyses to understand drivers of key business trends. This position is also responsible for the development of frameworks to drive upsell strategy for existing customers by balancing business priorities with customer activity. Works with moderate guidance in own area of knowledge.

Job Description

Core Responsibilities

  • Works with business leaders and stakeholders to understand data and analysis needs and develop technical requirements.
  • Determines relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed.
  • Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools.
  • Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS.
  • Combines data as needed from disparate data sources to complete analysis.
  • Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing.
  • Develops forecasting models to predict sales, demand and other key business metrics.
  • Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement.
  • Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers.
  • Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork.
  • Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges.
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Regular, consistent and punctual attendance.
  • Other duties and responsibilities as assigned.


Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team - make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Support a culture of inclusion in how you work and lead.
  • Do what's right for each other, our customers, investors and our communities.


Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Analytics, Data Analytics, Microsoft Excel, Structured Query Language (SQL)

Compensation

This job can be performed in Colorado, Illinois, Maryland, and Minnesota with a Pay Range of $66,115.55 - $109,090.66Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

2-5 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.