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Entrylevel Insurance Risk Management Jobs in Huntsville, AL

These positions support Red Team threat analysis operations within the supply chain risk management ... Vision Insurance Company paid Short-Term and Long-Term Disability Company paid Life and AD&D ...

These positions support Blue Team mitigation operations within the supply chain risk management ... Insurance · Company paid Short-Term and Long-Term Disability · Company paid Life and AD&D ...

These positions support Blue Team mitigation operations within the supply chain risk management ... Insurance • 401k with competitive matching and vesting schedule • Continuing education ...

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Entrylevel Insurance Risk Management information

See Huntsville, AL salary details

$81.3K

$119.7K

$183.3K

How much do entrylevel insurance risk management jobs pay per year?

As of Jun 10, 2026, the average yearly pay for entrylevel insurance risk management in Huntsville, AL is $119,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $136,000.00 per year, depending on experience, location, and employer.
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Data Analyst - Red Team

Data Analyst - Red Team

PingWind

Huntsville, AL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Location: Huntsville, AL 

Required Clearance: TS/SCI Eligible

Required Education: HS/GED

Required Experience: Minimum 3 years of experience in threat analysis, intelligence analysis, risk assessment, supply chain investigation, or operations research

Hybrid: 3 days of onsite/ 2 days remote 

Position Description:

These positions support Red Team threat analysis operations within the supply chain risk management program. Red Team analysts focus on the offensive/threat side of supply chain risk - identifying vulnerabilities, mapping adversary supply chain dependencies, assessing geopolitical exposure, and discovering points of failure before they are exploited. The four analysts work as a team under the direction of an PingWind Director of Operations & Implementation


Responsibilities:

Execute supply chain vulnerability assessments for assigned programs and weapons systems

Conduct adversary supply chain mapping to identify foreign ownership, control, and influence (FOCI) indicators

Produce threat assessment products documenting identified vulnerabilities, severity ratings, and exploitation pathways

Develop and execute scenario-based stress assessments for supply chain disruption events

Model supplier capacity loss scenarios and estimate impact on program timelines and readiness

Conduct deep-dive research on long-lead components, sole-source parts, and critical materials

Identify obsolescence risks, diminishing manufacturing sources, and counterfeit indicators

Analyze geopolitical exposure for supply chain entities across assigned programs

Maintain the Red Team vulnerability pipeline with prioritization, status tracking, and handoff to Blue Team for mitigation

Contribute to Red Team recurring reports, control tower briefing materials, and annual vulnerability summaries

Document research methodology, maintain source attribution records, and evidence packages

Support transition documentation and knowledge transfer activities

Required Qualifications

   Minimum 3 years of experience in threat analysis, intelligence analysis, risk assessment, supply chain investigation, or operations research

Proficiency in data analysis tools (Excel, Python/pandas, SQL, Snowflake, or equivalent)

Experience producing threat assessments, vulnerability analysis products, or structured analytic products

Familiarity with adversary network analysis, geopolitical risk, FOCI assessment, or supply chain disruption analysis

Strong analytic writing, research methodology, and briefing material development skills

Ability to conduct structured research, maintain evidence documentation, and work to production cadence


Desired Qualifications

Experience with defense intelligence analysis or counterintelligence support

Familiarity with FOCI screening, CFIUS processes, or sanctions screening

Experience with open-source intelligence (OSINT) research methods

Familiarity with defense parts databases (GIDEP, FED-LOG) or DMSMS analysis

Experience with scenario modeling, Monte Carlo simulation, or network analysis tool

 
About PingWind
 
PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in Northern Virginia and Huntsville AL.
www.PingWind.com
 
Our benefits include:
 
       Eleven Federal Holidays
       Paid Time Off accrued each pay period
       Parental Leave
       Three medical plan choices with generous employer contribution
       Dental and Vision Insurance
       Company paid Short-Term and Long-Term Disability
       Company paid Life and AD&D Insurance
       401k with competitive matching and vesting schedule 
       Continuing education assistance
       Short Term / Long Term Disability & Life Insurance
       Medical, Dependent Care and Commuter Flexible Spending Accounts
       Employee Assistance Program 
       Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)
       529 College Savings Plan
       Legal Insurance 
       Pet Insurance
 
Veterans are encouraged to apply
 
PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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