Senior Data Analyst

Morgan 6

Tampa (FL)

On-site

USD 100,000 - 160,000

Full time

14 days+
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Job summary

Morgan 6 is seeking a Senior Data Analyst to support an advanced counterintelligence analytics program for the Federal Aviation Administration (FAA). The Senior Data Analyst will conduct multi-domain risk analysis across supply-chain, corporate, cyber, financial, and network data and convert technical and model-generated findings into clear, defensible analytical products for Government decision-makers.

This role entails building dashboards, timelines, and written assessments, validating model

Qualifications

  • Must be a U.S. citizen, permanent resident, or dual citizen.
  • Bachelor’s degree in a data-related field or equivalent experience.
  • Must meet government security/suitability and system-access requirements.
  • Experience conducting complex, multi-source analytical research.

Responsibilities

  • Conduct multi-domain risk analysis using government, commercial, and open-source data.
  • Develop investigative packages, dashboards, timelines, and final written risk assessments.
  • Analyze suppliers, corporate entities, ownership, and network relationships.
  • Review model-generated risk rankings and behavioral anomalies for FAA leadership.
  • Validate automated model findings in operational context and identify where analyst judgment is required.
  • Develop clear visualizations communicating relationships across corporate, cyber, and supply-chain data.

Skills

Multi-domain risk analysis
Analytical writing
Briefing skills
Team collaboration with data science
Operational context interpretation

Education

Bachelor’s degree in Data Analytics

Tools

Nuix Neo
Nuix Investigate
Linkurious
Memgraph
Graph databases

Job description

Description

Morgan 6 “M6” is a Service-Disabled Veteran-Owned Small Business (SDVOSB) and SBA-certified HUBZone company headquartered in Charleston, SC. We deliver expert talent with high-demand, low-density skill sets to support critical U.S. Government missions in areas such as special operations, intelligence, cybersecurity, agile development, and IT support.

Most importantly, we are — and we support — Warriors First.

M6 Core Values – HEROIC

Honor – Act with integrity and truthfulness

Excellence – Strive for quality in all we do

Resourcefulness – Innovate and embrace change

One Team – Stand together and treat each other with respect

Iron Sharpens Iron – Encourage personal and professional growth

Castle Defense – Protect the resources entrusted to us

Position Summary

Morgan 6 is seeking a Senior Data Analyst to support an advanced counterintelligence analytics program for the Federal Aviation Administration (FAA). The Senior Data Analyst will conduct multi-domain risk analysis across supply-chain, corporate, cyber, financial, and network data and convert technical and model-generated findings into clear, defensible analytical products for Government decision-makers.

This role is responsible for producing analytic outputs across all three program priorities, including supply-chain risk management, behavioral anomaly detection, and cyber alert triage. The analyst will build investigative packages, dashboards, timelines, and written assessments and will validate model findings in operational context for FAA leadership.

This position is contingent upon contract award, currently anticipated October 1, 2026. Candidates must be available to begin work by October 15, 2026, if the contract is awarded and all applicable pre-employment and Government access requirements are satisfied.

Key Responsibilities
  • Conduct multi-domain risk analysis using Government, commercial, and open-source data.
  • Develop investigative packages, visualization dashboards, timelines, and final written risk assessments.
  • Analyze suppliers, corporate entities, parent/subsidiary relationships, beneficial ownership, mission dependencies, and other relevant network relationships.
  • Review and assess model-generated supplier risk rankings, behavioral anomalies, and cyber cascade alerts.
  • Validate automated model findings in operational context and identify where additional research or analyst judgment is required.
  • Conduct corporate and supply-chain research involving foreign ownership, control or influence, sanctions exposure, financial indicators, cyber posture, dependency concentration, and other risk indicators.
  • Conduct link and network analysis to identify relevant relationships among suppliers, primes, sub-tier vendors, parent companies, subsidiaries, and other entities.
  • Support development of ranked supplier watchlists and in-depth supplier risk assessments.
  • Conduct targeted deep-dive analysis based on model output, Government priorities, or investigative requirements.
  • Develop written behavioral anomaly reports and cyber-related investigative packages.
  • Review timelines and anomaly outputs to identify patterns, correlations, and potential investigative leads.
  • Develop clear visualizations that communicate complex corporate, cyber, and network relationships.
  • Maintain source traceability and clearly document analytical assumptions, confidence, information gaps, and limitations.
  • Distinguish between source reporting, model-generated indicators, and analyst judgments.
  • Work closely with Morgan 6 data scientists and technical leadership to refine model outputs and improve analytic workflows.
  • Incorporate Government analyst and investigator feedback into recurring analytic products and model-improvement processes.
  • Support recurring mission analytic reports and ad hoc deep-dive assessments.
Requirements
  • Minimum 5 years of professional experience in intelligence analysis, investigative analysis, data analysis, supply-chain risk analysis, counterintelligence analysis, or a closely related field.
  • Demonstrated experience conducting complex, multi-source analytical research.
  • Experience producing investigative packages, risk assessments, written intelligence products, timelines, or analytical reports for decision-makers.
  • Experience conducting link analysis, network analysis, or relationship mapping.
  • Experience analyzing companies, ownership structures, suppliers, individuals, financial relationships, or other interconnected entities.
  • Experience identifying patterns, anomalies, relationships, and information gaps within large or complex datasets.
  • Strong analytical writing and briefing skills.
  • Ability to evaluate quantitative or model-generated results and place them into operational or mission context.
  • Ability to clearly articulate confidence, limitations, assumptions, and alternative explanations.Strong attention to source provenance, data quality, and analytic traceability.
  • Ability to work effectively with data scientists, engineers, technical leads, investigators, and Government stakeholders.
  • Ability to translate technical and quantitative findings into clear, concise analytical products.Ability to manage multiple analytical requirements and competing priorities.
  • Ability to obtain and maintain required Government security and system access.
  • Must be available to start by October 15, 2026.
Preferred Qualifications
  • Experience with one or more of the following is highly desirable:
  • Nuix Neo / Nuix Investigate or comparable investigative analytics platforms.
  • Linkurious or comparable graph/network visualization tools.
  • Memgraph/MAGE or comparable graph database and network-analysis technologies.
  • Sayari for corporate structure, beneficial ownership, supply-chain, or entity research.
  • NexusXplore or comparable OSINT/data-fusion platforms.
  • Moody’s or comparable corporate, financial, and risk datasets.
  • SecurityScorecard or comparable cyber-risk and external security-posture platforms.
  • GLEIF data for legal-entity identification and corporate relationships.
  • Sanctions and restricted-party datasets.
  • ICIJ corporate and offshore-entity datasets.
  • Wirescreen or comparable corporate intelligence and supply-chain research platforms.
  • Dashboarding, visualization, or investigative-analysis platforms used to communicate complex relationships and findings.
Education & Eligibility
  • Must be a U.S. Citizen, Permanent Resident, or Dual Citizen.
  • Bachelor’s degree in Data Analytics, Data Science, Intelligence Studies, Business Intelligence, Cybersecurity, Information Systems, Computer Science, Finance, or a related field, or equivalent relevant professional experience.
  • Must meet all Government security, suitability, and system-access requirements associated with the position.
Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Competitive Compensation & Benefits

Compensation varies based on factors such as location, experience, and skill set. For positions based in California, Colorado, D.C., Maryland, New York, or Washington, the salary range for this position is $100,000 – $160,000 annually.

Our comprehensive benefits package includes health insurance (medical, dental, vision), voluntary short and long-term disability, voluntary additional life, Sect. 125 dependent care, Health Savings Account (HSA), 401(k) retirement plan with company match, paid time off (PTO), and professional development opportunities.

Drug Free Workplace

M6 is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Reasonable Accommodations

As an Equal Opportunity Employer, M6 is committed to providing reasonable accommodation to applicants with disabilities. If you are interested in applying for employment with M6 and need assistance or accommodation to use our website, please contact us by phone at (843) 258-9947. Provide your contact information and describe the nature of your accessibility issue. We will only respond to inquiries related to accommodation requests.

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