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Offensive Analyst Jobs in Alabama (NOW HIRING)

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Offensive Analyst information

See Alabama salary details

$33.1K

$88.5K

$207.1K

How much do offensive analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for offensive analyst in Alabama is $88,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $100,600.00 per year, depending on experience, location, and employer.

What is an offensive analyst?

An Offensive Analyst is a member of a football coaching staff who specializes in analyzing the team's offensive strategies and the opponents' defenses. They break down game film, identify patterns, and provide detailed reports to help coaches and players improve performance. Offensive Analysts often assist in game planning, scout upcoming opponents, and suggest tactical adjustments. While they typically do not coach players directly during games, their behind-the-scenes work is vital for a team's offensive success.

What are some common challenges faced by offensive analysts when conducting penetration tests within organizations?

Offensive Analysts often encounter challenges such as limited access to systems due to strict internal controls, time constraints imposed by project schedules, and the need to maintain clear communication with stakeholders to avoid operational disruptions. Additionally, they must stay updated on the latest attack techniques and tools to effectively identify vulnerabilities while ensuring all testing activities comply with legal and ethical guidelines. Collaborating closely with IT and security teams is essential to interpret test results and recommend actionable remediation steps.

What are the key skills and qualifications needed to thrive as an offensive analyst, and why are they important?

To thrive as an Offensive Analyst, you need a deep understanding of football strategy, offensive play design, and data analysis, often supported by experience in coaching or playing football at a high level. Familiarity with video analysis software, playbook design tools, and statistical platforms is typically required. Strong communication, attention to detail, and adaptability help in effectively conveying insights to coaching staff and adjusting to fast-paced game situations. These skills are crucial for developing effective offensive strategies that give teams a competitive edge on the field.

What is the difference between Offensive Analyst vs Defensive Analyst?

AspectOffensive AnalystDefensive Analyst
CredentialsTypically requires cybersecurity certifications like OSCP, CEH, or GIAC certificationsSimilar certifications such as CISSP, GIAC certifications, or CEH are common
Work EnvironmentEngages in proactive testing, penetration testing, and simulating attacks to identify vulnerabilitiesFocuses on monitoring, threat detection, and defending against cyber threats
Employer & Industry UsageUsed by cybersecurity firms, IT departments, and government agencies to identify security gapsCommonly employed in security operations centers (SOCs) and enterprise security teams

While both roles require cybersecurity knowledge and certifications, Offensive Analysts focus on simulating attacks to find vulnerabilities, whereas Defensive Analysts work to detect and prevent cyber threats. Both are essential for comprehensive cybersecurity strategies.

How much do offensive analysts make?

Offensive analysts typically earn between $60,000 and $100,000 annually, depending on experience, certifications, and the industry sector. Entry-level positions may start lower, while experienced analysts with specialized skills can earn higher salaries, especially in cybersecurity or intelligence environments.

What job categories do people searching Offensive Analyst jobs in Alabama look for?

The top searched job categories for Offensive Analyst jobs in Alabama are:

Infographic showing various Offensive Analyst job openings in Alabama as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, and 8% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $88,517 per year, or $42.6 per hour.

Offensive Cyber Operations AI Principal Investigator

Huntsville, AL

Full-time

Posted 13 days ago


Job description

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers' most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.

Nightwing seeks a strong technical leader with experience applying and interacting with LLMs and neural networks across various deployment schemes (e.g., on-prem, cloud hosted, and token-based subscription). This candidate must also have practical leadership experience in the domain of offensive cyber operations (OCO), and vulnerability research. Specifically, this role requires an advanced understanding of genetic search algorithms (e.g., AFL++), coverage-based feedback schemes, modern exploit mitigations (e.g., PAC, MTE), assembly language (e.g., ARM64, Intel x86/x64), and advanced reverse engineering techniques. Nightwing expects successful candidates to be able to bridge these two technical domains, using major advancements in open-weight and SOTA LLMs to drive technical innovation and advancements in the domain of applied offensive cyber tradecraft and capability development.

Core Responsibilities

  • Lead a team to design and implement LLM and neural network infrastructure including on-premises deployments, cloud-hosted environments, and token-based API subscriptions for an organization of 300+ engineers.
  • Assess and integrate state-of-the-art (SOTA) open-weight models and commercial LLM offerings into OCO tools, actively defeating vendor supplied guardrails.
  • Establish processes for rapidly prototyping and evaluating emerging AI capabilities, translating research advancements into new products, pushing these out to a large workforce and iterating their performance.
  • Lead development of AI-enhanced fuzzing and vulnerability discovery frameworks leveraging genetic search algorithms (AFL++, libFuzzer, Honggfuzz) coverage guided analysis, source analysis, and exploit development techniques.

Required Qualifications

Technical Expertise

  • 5+ years working with LLMs, neural networks, and modern ML frameworks with demonstrated experience across multiple deployment models
  • 7+ years in vulnerability research, exploit development, or offensive cyber operations with proven track record of capability delivery
  • Expert-level knowledge of genetic search algorithms, coverage-guided fuzzing (AFL++), and automated vulnerability discovery
  • Deep understanding of:
    • ARM64 and x86/x64 assembly language and microarchitecture
    • Modern exploit mitigations and bypass techniques
    • Operating system internals (kernel and userspace)
    • Memory management and process isolation mechanisms
  • Advanced proficiency with tools such as IDA Pro, Ghidra, Binary Ninja, and debuggers (GDB, LLDB, WinDbg)

Additional Requirements

  • Education: Bachelor's degree in Computer Science, Computer Engineering, or related field; advanced degree preferred or equivalent practical experience

At Nightwing, we value collaboration and teamwork. You'll have the opportunity to work alongside talented individuals who are passionate about what they do. Together, we'll leverage our collective expertise to drive innovation, solve complex problems, and deliver exceptional results for our clients.


Thank you for considering joining us as we embark on this new journey and shape the future of cybersecurity and intelligence together as part of the Nightwing team.

Nightwing is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.