

Army Sustainment Data Analyst – Consumption & Class I-V Modeling
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Army Sustainment Data Analyst focused on Class I-V modeling, offering $105,000–$125,000/year for an 18-month contract. Requires prior Army sustainment experience, strong Excel skills, and familiarity with logistics doctrines. Remote or hybrid work available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
568.1818181818
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🗓️ - Date discovered
June 30, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Alexandria, VA 22310
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🧠 - Skills detailed
#Data Analysis #Forecasting #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Data Manipulation
Role description
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Location: Remote or Hybrid (Alexandria, VA preferred) Clearance: Not required; must be U.S. Citizen Compensation: $105,000–$125,000/yr + project bonus eligibility Term: 18-month contract (with extension path to Phase III) Travel: Limited; occasional on-site support in Arizona or Colorado Springs possible
Axyde Analytics is seeking a mission-driven Army sustainment data analyst with deep experience in Class I–V consumption models, doctrinal force structure, and predictive planning logic. You will work directly with our engineering and AI teams to ensure realistic, validated modeling of Army logistics behavior across battalion and brigade echelons.
This role supports the Army SBIR PORTAL initiative—an effort to deliver a no-training logistics decision-support assistant capable of operating in denied or degraded environments.
✅ Ideal Background
Prior service or support to Army sustainment, with emphasis on battalion-and-below operations
Hands-on experience with:
GCSS-A reports and extract formats
Classes of Supply I, III, V consumption forecasting
MTOE-based force modeling
Class V resupply planning and constraints
Familiarity with:
ATP 4-90, FM 4-0, ATP 5-19
DDIL/contested logistics assumptions
COA planning inputs tied to supply depletion and ETA mismatch
Strong Excel/data manipulation skills and understanding of how data is used (or misused) in the field
Core Responsibilities
Validate all logic underlying Class I, III, V, VII, and IX sustainment COAs
Help translate doctrinal assumptions into data-bound rules for predictive models
Provide fallback logic paths when data is stale, incomplete, or conflicting
Model typical causes of logistics friction: bottlenecks, breakdowns, improper loadout, etc.
Work closely with UX and inference engineers to validate assistant outputs under edge-case conditions
Support Phase II–III reporting and validation including TRL transition tracking
By applying, you affirm you are the individual submitting and grant Axyde permission to use your resume in its proposal submission.