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Signals Intelligence Analyst Jobs in Raleigh, NC

Signalscape has supplied engineering services and products used for defense, intelligence, and law ... control coding, signals analysis tools (WVT, DVT), and digital signal processing (Adaptive ...

Signal Software Engineer

Cary, NC · On-site

$130K - $180K/yr

Signalscape has supplied engineering services and products used for defense, intelligence, and law ... control coding, signals analysis tools (WVT, DVT), and digital signal processing (Adaptive ...

Customer signals exist across Voice of Customer systems, predictive analytics, operational data, and enterprise reporting tools. What does not yet exist is a unified, designed intelligence engine ...

Signal Software Engineer

Cary, NC · On-site

$130K - $180K/yr

\n \n \n Signalscape has supplied engineering services and products used for defense, intelligence ... control coding, signals analysis tools (WVT, DVT), and digital signal processing (Adaptive ...

... artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD ... Data Analysis: Process and interpret RF datasets for signal detection, classification, tracking ...

Product Analyst

Raleigh, NC · On-site

$110 - $140/hr

Apply responsible AI practices and mitigate risks such as bias, hallucinations, and intellectual ... Highest-signal resume keywords * Product Management * AI Tools Proficiency * Environmental ...

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Signals Intelligence Analyst information

See Raleigh, NC salary details

$9.7K

$45.5K

$87.8K

How much do signals intelligence analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for signals intelligence analyst in Raleigh, NC is $45,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $61,800.00 per year, depending on experience, location, and employer.

What does a signals intelligence analyst do?

The responsibilities of a signals intelligence (SIGINT) analyst include examining foreign communications and activity and collating the information by compiling reports on combat, strategy, and tactical intelligence, to support Special Operations Task Force and other government agencies. Using advanced equipment, you analyze intercepted messages and organize relevant information, identify operational patterns, and notify commanders of unusual activity so they can respond appropriately. Other duties include maintaining databases and assisting with placing, camouflaging, and retrieving surveillance systems. Opportunities in this type of position are most prevalent in the military including the Army, Air Force, and the National Guard, but there are positions available outside the military as well, such as with technology companies that work with law enforcement and counterintelligence agencies.

What does a signals intelligence analyst do?

A Signals Intelligence Analyst is responsible for collecting, analyzing, and interpreting signals data—such as radio, radar, or electronic transmissions—to provide valuable information to military or intelligence agencies. They use specialized equipment and software to intercept communications, identify potential threats, and support mission planning. Their work helps inform decisions related to national security, battlefield awareness, and counterintelligence operations.

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

To thrive as a Signals Intelligence Analyst, a strong background in data analysis, cryptography, and communications technology is essential, often supported by a degree in a technical field and relevant security clearances. Familiarity with signal analysis software, radio frequency (RF) systems, and intelligence databases is typically required, along with certifications such as CompTIA Security+ or CISSP. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting complex data and collaborating with intelligence teams. These skills and qualifications are critical for accurately identifying, analyzing, and reporting on signals intelligence to support national security and mission objectives.

What are some of the typical challenges signals intelligence analysts face when working with large volumes of data?

Signals Intelligence Analysts often work with massive amounts of raw data from various sources, which can make it challenging to identify relevant information efficiently. Sifting through this data requires strong analytical skills, attention to detail, and the ability to use specialized analysis tools effectively. Additionally, analysts must stay updated on evolving communication technologies and encryption methods. Collaborating with other intelligence professionals is also essential to ensure accurate interpretation and timely reporting of critical findings.

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

AspectSignals Intelligence AnalystCybersecurity Analyst
Required CredentialsBachelor's in cybersecurity, intelligence, or related fields; security clearances often requiredBachelor's in cybersecurity, computer science, or related fields; certifications like CompTIA Security+ or CISSP beneficial
Work EnvironmentIntelligence agencies, military, government organizations; classified and secure settingsPrivate companies, government agencies, IT firms; office and remote work
Industry UsageDefense, intelligence, national securityIT, finance, healthcare, government cybersecurity
Common Search/ComparisonYesYes

Signals Intelligence Analysts focus on intercepting and analyzing foreign communications for national security, often working in classified environments. Cybersecurity Analysts protect organizational networks from cyber threats, working in more open environments. While both roles require technical skills and security knowledge, their focus areas and work settings differ significantly.

What are popular job titles related to Signals Intelligence Analyst jobs in Raleigh, NC?

For Signals Intelligence Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

Infographic showing various Signals Intelligence Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $50,087 per year, or $24.1 per hour.

Lead, Customer Intelligence Governance & Activation

Avalara

Durham, NC • On-site

$139K/yr

Full-time

Medical, Life, PTO

Re-posted yesterday


Job description

What You'll Do
Role Summary
Avalara is scaling an AI-first operating model designed to predict customer needs, reduce systemic friction, protect Gross Revenue Retention (GRR), and lower Cost to Serve (CTS).
Customer signals now exist in volume - across Voice of Customer systems, CX360 intelligence outputs, predictive analytics, and operational data. What does not exist is a single enterprise authority that determines:
  • Which signals are credible
  • Which signals materially impact revenue or cost
  • Which signals get funded
  • How impact is verified
  • Who is accountable when action stalls

Without a governed decision framework, signal volume increases but executive decisions degrades. Roadmaps fragment. Metrics drift. Friction themes compete without financial validation. Revenue risk remains unquantified.
The Lead, Customer Intelligence Governance & Activation is the enterprise owner of Customer Intelligence activation.
You will define and govern the decision architecture that converts signal into funded, finance-validated action with verified impact. It establishes the standards that determine how Customer Intelligence influences executive prioritization, capital allocation, and accountability.
You will hold formal authority within the Customer Intelligence governance structure and is directly accountable for measurable movement in GRR and CTS attributable to Customer Intelligence activation.
You will not add process. It prevents enterprise revenue leakage and operational inefficiency by enforcing disciplined, data-backed decision standards.
How You will Elevate Avalara:
Business Elevation
  • Ensure validated friction themes are financially quantified before making executive tradeoffs to protect revenue.
  • Improve capital allocation discipline by promoting standardized prioritization criteria.
  • Reduce cost-to-serve by escalating systemic drivers instead of treating symptoms.
  • Increase quality in executive forums through governed signal validation and exposure modeling.

Customer Elevation
  • Ensure recurring customer friction is addressed at enterprise scale.
  • Reduce avoidable churn drivers by accelerating signal-to-action velocity.
  • Prevent fragmented ownership that allows friction to persist across journeys.

Organizational Elevation
  • Eliminate conflicting KPI definitions and metric drift.
  • Raise governance rigor across Product, Operations, and GTM.
  • Embed AI-driven prioritization within defined confidence and audit standards.
  • Increase talent density by holding the system - not just individuals - accountable to measurable outcomes.

A Bar Raiser in this role leaves the enterprise decision system stronger, clearer, and more financially disciplined than they found it.
What Your Responsibilities Will Be
Responsibilities (Enterprise-Level Ownership)
Lead the Enterprise Customer Intelligence Decision Framework
  • Define and govern the end-to-end lifecycle: signal capture • validation • financial quantification • prioritization • funding • impact verification.
  • Establish signal eligibility standards and confidence thresholds before signals enter executive forums.
  • Embed standardized decision criteria into roadmap and capital allocation governance.
  • Eliminate fragmentation across listening systems by enforcing a single enterprise framework.

Authority: Sole enterprise owner of the Customer Intelligence decision architecture.
Define Executive Prioritization & Funding Standards
  • Set the decision criteria used in executive forums reviewing customer friction themes.
  • Define mandatory business case components for Customer Intelligence-driven projects.
  • Present prioritized signal portfolios with quantified revenue and cost exposure.
  • Align validated themes to roadmap sequencing and funding tradeoffs.

Authority:
Manage Financial Accountability & Impact Validation
  • Partner with Finance to measure revenue risk, retention exposure, and cost drivers tied to validated signals.
  • Establish required impact measurement standards before initiative approval.
  • Validate pre- and post-intervention financial performance.
  • Hold projects accountable to defined GRR and CTS movement.

Accountability: Directly accountable for measurable GRR and CTS movement attributable to Customer Intelligence activation.
Improve Accountability & Escalation
  • Lead enterprise response when validated signals require action.
  • Escalate stalled projects tied to approved friction themes.
  • Arbitrate disputes in signal interpretation using defined governance standards.
  • Enforce adherence to validation and influence measurement requirements.

Authority: Formal escalation and arbitration authority within Customer Intelligence governance.
Define Artificial Intelligence Governance Standards
  • Establish governance standards for AI used in signal classification and prioritization.
  • Define measurable confidence thresholds before automated escalation or prioritization impacts executive forums.
  • Approve enterprise-level automation triggers affecting funding or sequencing decisions.
  • Ensure AI is applied responsibly, securely, and auditable.

Authority: Sole owner of AI governance standards within the Customer Intelligence system.
Govern Enterprise Measurement Integrity
  • Define and standardize Customer Intelligence Measurement definitions across VoC, CX360, predictive analytics, and operational systems.
  • Prevent metric drift and conflicting reporting throughout the company.
  • Align Customer Intelligence metrics with financial reporting standards.

Authority: Sole owner of KPI governance tied to Customer Intelligence activation.
What You'll Need to be Successful
Required Qualifications
  • B.S. in related field.
  • 8+ years of experience in enterprise program leadership, operating model design, or Customer Intelligence strategy.
  • Demonstrated experience building governance frameworks adopted across multiple departments.
  • Direct experience partnering with Finance to measure revenue risk, retention exposure, or cost-to-serve impact.
  • Experience defining prioritization standards used in executive decision forums.
  • Demonstrated applied experience governing AI-enabled decision workflows tied to measurable outcomes.
  • Experience driving accountability in complex matrixed environments.
  • Demonstrated history of raising execution rigor, decision quality, and measurable performance.

Bar Raiser Expectations
We are hiring a Bar Raiser - someone who elevates the quality, rigor, and financial discipline of how enterprise decisions are made. This role is expected to strengthen how Customer Intelligence translates into action by improving prioritization, accountability, and measurable business impact.
A successful candidate will:
  • Raise decision-making quality by enforcing structured, finance-aligned prioritization and clear tradeoff frameworks
  • Improve enterprise execution rigor by ensuring validated signals translate into funded, accountable initiatives
  • Eliminate ambiguity and fragmentation in how customer friction is defined, measured, and acted upon
  • Increase organizational capability by establishing repeatable governance standards for signal validation, funding, and impact measurement
  • Strengthen cross-functional alignment across Product, Operations, Finance, and GTM through clear frameworks and decision ownership
  • Hold the system accountable, not just individuals, ensuring outcomes are tied to measurable GRR and CTS impact
  • Leave the enterprise decision system measurably stronger, improving speed, clarity, and financial discipline

AI Expectations (AI Bar Raiser Standard)
We are hiring an AI Bar Raiser - someone who brings deep, applied AI expertise and uses it to meaningfully improve how customer intelligence is translated into executive decision-making. This role is expected to elevate how AI is applied across the organization, driving measurable improvements in prioritization accuracy, financial modeling, and decision speed.
A successful candidate will:
  • Apply AI-driven clustering, classification, and predictive indicators to grow signal validation.
  • Measure AI impact in improved prioritization speed, financial modeling, or escalation accuracy.
  • Define measurable confidence and audit thresholds before automation impacts funding decisions.
  • Partner with analytics teams to improve model performance tied to GRR and CTS.
  • Improve AI capability across governance forums by promoting AI-informed decision criteria.

AI usage must materially improve speed, rigor, financial precision, or scale. Casual or convenience-based AI usage does not meet the standard.
12-Month Success Signals
Within 12 months:
  • Enterprise Customer Intelligence decision framework formally adopted across Product, Operations, and GTM.
  • Executive prioritization forums operating with standardized financial validation criteria.
  • Documented, Finance-validated improvement in GRR and/or measurable CTS reduction attributable to Customer Intelligence-driven action.
  • ≥25% reduction in signal-to-action cycle time.
  • Elimination of conflicting Measurement definitions across Customer Intelligence systems.
  • AI-enabled signal validation and prioritization operating within defined governance thresholds.

Beyond 12 months:
  • Customer Intelligence becomes a mandatory input to roadmap and capital allocation decisions.
  • Predictive signal modeling informs proactive retention and cost reduction strategies.
  • The enterprise shows measurable improvement in decision speed and financial discipline tied to customer friction resolution.

Avalara is an AI-first Company
AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.
  • You'll bring experience using AI and AI-related technologies, ready to thrive here.
  • You'll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
  • You'll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

How We'll Take Care of You
Total Rewards
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
What You Need To Know About Avalara
We're defining the relationship between tax and tech.
We've already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we're not slowing down until we've achieved our mission - to be part of every transaction in the world.
We're bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we've designed, that empowers our people to win. We've been different from day one. Join us, and your career will be too.
We're An Equal Opportunity Employer
Supporting diversity and inclusion is a cornerstone of our company - we don't want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.