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Security Intelligence Analyst Jobs in Michigan (NOW HIRING)

The Senior Cyber Security Analyst is responsible for leading Cyber Security initiatives to build ... Familiarity with cloud security (Azure), Artificial Intelligence, & DevSecOps practices * Strong ...

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Security Intelligence Analyst information

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$9.6K

$75.8K

$135.1K

How much do security intelligence analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for security intelligence analyst in Michigan is $75,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $85,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a security intelligence analyst, and why are they important?

To thrive as a Security Intelligence Analyst, you need strong analytical skills, knowledge of threat assessment, and a background in criminal justice, cybersecurity, or a related field. Familiarity with intelligence-gathering tools, data analysis platforms, and certifications such as CISSP or CompTIA Security+ is often required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting intelligence and presenting findings. These abilities are essential for identifying and mitigating security threats, informing decision-makers, and protecting organizational assets.

What does a security intelligence analyst do?

A security intelligence analyst assesses the threat various actors pose to an organization, an industry, or general public safety. Some security intelligence analysts focus on physical threats to infrastructure or human safety, while others concentrate specifically on cybersecurity. Regardless of the type of security analysis you do, your responsibilities and duties include a mix of reading reports, making risk assessments, working to detect the source of attacks, and testing current defenses against threats. Your analysis leads to a report to your superiors identifying current threats and advising them on how to improve security measures and response to attacks.

What is the difference between Security Intelligence Analyst vs Cybersecurity Analyst?

AspectSecurity Intelligence AnalystCybersecurity Analyst
Required CredentialsSecurity certifications (e.g., CISSP, GIAC)Security certifications (e.g., CompTIA Security+, CISSP)
Work EnvironmentGovernment agencies, intelligence firms, security operations centersPrivate companies, IT departments, security firms
Industry UsageFocus on threat intelligence, national security, and strategic analysisFocus on protecting organizational networks and systems
Common Search/ComparisonOften compared for their roles in threat detection and analysisRelated but more technical and network-focused

The main difference is that Security Intelligence Analysts primarily focus on gathering and analyzing threat intelligence to inform security strategies, often working in government or intelligence sectors. Cybersecurity Analysts concentrate on protecting organizational networks and systems from cyber threats through technical measures. Both roles require similar certifications but serve different operational focuses within the security field.

How does a security intelligence analyst typically collaborate with other departments within an organization?

Security Intelligence Analysts frequently work closely with IT, legal, risk management, and executive leadership teams to assess and respond to potential threats. They share intelligence findings, provide recommendations, and help develop proactive security measures. Effective communication and teamwork are essential, as analysts often need to translate complex technical information into actionable insights for non-technical stakeholders. Regular cross-departmental meetings and incident response drills are common in this collaborative environment.

What does a security intelligence analyst do?

A Security Intelligence Analyst is responsible for collecting, analyzing, and interpreting data to identify and assess potential security threats to an organization. They monitor various intelligence sources, such as cyber threat feeds, news reports, and internal security tools, to detect patterns and emerging risks. Their work helps organizations anticipate attacks, respond to incidents, and strengthen their overall security posture. Analysts often collaborate with other security professionals to develop strategies for preventing and mitigating threats.
What cities in Michigan are hiring for Security Intelligence Analyst jobs? Cities in Michigan with the most Security Intelligence Analyst job openings:
What are popular job titles related to Security Intelligence Analyst jobs in MI? For Security Intelligence Analyst jobs in MI, the most frequently searched job titles are:
Infographic showing various Security Intelligence Analyst job openings in Michigan as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $75,838 per year, or $36.5 per hour.

Director, FCSD Data Analytics and Business Intelligence

Ford Motor Company

Allen Park, MI โ€ข On-site

Full-time

Posted 10 days ago


Job description


In this role, you will lead the strategic integration of several key functions-including data strategy, business intelligence, reporting, and customer experience analytics-into a unified, global team comprising both internal employees and external partners. Operating as a proactive service function, your organization will work in partnership with FCSD's business line leaders to directly support and accelerate their business results. This role is not about maintaining legacy processes or acting as a reactive "data vendor" that extracts raw files and distributes spreadsheets. Instead, you are tasked with architecting a modern, AI-first insights engine. You will build a highly proactive team that pushes our business leaders on their strategic thinking, challenges status-quo assumptions with deep, diagnostic and predictive analytics, and unlocks the critical insights needed to drive our business transformation.
Responsibilities
1. Future-State Operating Model & Resource Integration
  • Design the Future Organization: Integrate diverse reporting and data/analytics teams into a global structure of 30+ professionals.
  • Orchestrate the Employee-Vendor Ecosystem: Efficiently manage a blended team of internal talent and external vendors. Ensure our partners effectively "run the railroads" so that internal teams can focus on high-value strategy and proactive insight generation.
  • Lead Cultural and Skill Transformation: Have a mindset of proactive, strategic advisory partner to FCSD business leaders, enabling the team to work seamlessly in modern, cloud-native, and AI-first environments.

2. Proactive Business Intelligence, Insights & Service Delivery
  • Support Business Line Results: Position the Data Analytics and Business Intelligence team as a premier service function, collaborating intimately with FCSD business line leaders to drive EBIT expansion and better operational execution.
  • Challenge the Status Quo: Shift the division away from, manual spreadsheet-sharing toward dynamic, predictive business intelligence. Empower your team to synthesize complex datasets and deliver sharp, actionable insights that proactively shape future business strategies.
  • Establish Dynamic Enterprise KPIs: Oversee the development and automation of next-generation performance metrics, utilizing AI-driven visualization to track and predict customer pay service, leads, wholesale, parts supply & logistic, network performance.
  • Own the Semantic Layer and Metric Governance: Reinforce centralized Business Rules to eliminate conflicting data across business units, ensuring a single version of truth.

3. Integrated Customer & Dealer Data Strategy
  • Consolidate Dealer & CX Data: Evolve the customer and dealer lifecycle by bringing Dealer Management System (DMS) datasets and Customer Experience (CX) survey metrics into a single, unified data strategy.
  • Synthesize Voice of Customer (VoC) and industry data: Build cohesive feedback loops that make customer and dealer sentiment and industry benchmark insights highly visible and actionable from executive leadership to the dealership floor.
  • Continue Leadership in Data Integration: Define the long-term vision for dealer-partner data sharing, integration, and security, ensuring high-integrity, compliant pipelines feed the team's advanced analytics engines.

4. AI-First Analytics & Modern Tech Stack Evolution
  • Establish an AI-First Culture: Leverage AI to automate routine reporting, accelerate insight generation, and perform diagnostic modeling at scale.
  • Partner with Central Ford Tech teams: Collaborate closely with Ford's centralized data science and Enterprise Technology organizations to transition FCSD's data assets from legacy environments into modern, cloud-native architectures

Qualifications
Required Skills and Capabilities
  • Transformational Leadership & Vision: Exceptional capability to lead global, cross-functional teams through change, while maintaining a high-performing service identity.
  • AI-First Technical Vision: A forward-looking leader with a strong conceptual grasp of generative AI, large language models, automated machine learning, next-generation visualization platforms, and modern cloud data ecosystems. Must keep pace with new innovation and leverage the latest tooling and agents to rapidly prototype solutions and prove value before scaling.
  • Proactive Advisory & Influence: A track record of acting as a consultative partner rather than a transactional service provider; someone who can leverage data to challenge senior executive thinking and constructively shape business outcomes.
  • Collaborative Relationship Builder: Strong interpersonal skills with a proven track record of partnering across corporate skill teams, technology partners, and external organizations.
  • Resource Orchestration: Ability to manage complex, blended teams (internal and external vendors) and design high-performing operating models during organizational change.
  • Action & output oriented. Hands on keys builder that can roll up their sleeves alongside engineering teams.
Minimum Qualifications:
  • Education: Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, Engineering, Mathematics, Business, or a related field.
  • Experience:
    • Minimum of 10 years of progressive experience in business analytics, data strategy, business intelligence, or customer insights.
    • Minimum of 5 years of experience leading and developing global, multi-tiered, or cross-functional teams of 20+ professionals (including direct employees and vendors).
    • Experience leading a technology-focused team through transformation
  • Technical & Platform Familiarity: Deep conceptual knowledge of modern cloud environments (e.g., Google Cloud Platform), automated BI semantic layers, advanced analytics workflows, and AI agents with experience successfully migrating legacy reporting into modernized platforms.
Preferred Qualifications:
  • Advanced Degree: Master's degree in Data Science, Mathematics, Engineering, or an MBA with an analytical focus.
  • Automotive or Aftersales Experience: Prior experience in dealership operations, automotive parts and service, or aftersales business dynamics.
  • Modern Methodology Certifications: Certified in modern, agile data product management, continuous delivery frameworks, or Lean methodologies.

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982