Senior Data Analyst

Morgan 6•Tampa, FL

2d•$100,000 - $160,000

About The Position

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 – HEROICHonor – Act with integrity and truthfulnessExcellence – Strive for quality in all we doResourcefulness – Innovate and embrace changeOne Team – Stand together and treat each other with respectIron Sharpens Iron – Encourage personal and professional growthCastle 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.

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.

Nice To Haves

Experience with Nuix Neo / Nuix Investigate or comparable investigative analytics platforms.
Experience with Linkurious or comparable graph/network visualization tools.
Experience with Memgraph/MAGE or comparable graph database and network-analysis technologies.
Experience with Sayari for corporate structure, beneficial ownership, supply-chain, or entity research.
Experience with NexusXplore or comparable OSINT/data-fusion platforms.
Experience with Moody’s or comparable corporate, financial, and risk datasets.
Experience with SecurityScorecard or comparable cyber-risk and external security-posture platforms.
Experience with GLEIF data for legal-entity identification and corporate relationships.
Experience with Sanctions and restricted-party datasets.
Experience with ICIJ corporate and offshore-entity datasets.
Experience with Wirescreen or comparable corporate intelligence and supply-chain research platforms.
Experience with Dashboarding, visualization, or investigative-analysis platforms used to communicate complex relationships and findings.

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.