- Collect and normalize data, analyze, and present results of enterprise to individual real property assets or MCICOM Marine Corps programs within the installations portfolios and functions, and provide programmatic, cost, budget, schedule, and technical requirements utilizing descriptive methods, tools, and supporting visualizations.
- Use analytic tools to combine, analyze, and interpret very large and complex datasets to perform exploratory analyses and develop data-informed organizational solutions.
- Design, develop, enhance, and support new and existing dashboards and visualizations using the following tools, but not limited to PowerPoint, Tableau, Python, or R to support planning, programming, budget, and execution decisions.
- Conduct predictive analysis and refine/update models to forecast future infrastructure and installation services requirements and resources to support the Marine Corps Future Force, tenant requirements, and families.
- Use of operations research techniques and methods, machine learning models, and other predictive analytics tools to identify trends, patterns, and potential future outcomes.
- Refine the predictive infrastructure model that focuses on lifecycle management including incorporating known funding levels, known facility investment plans (supportive of military construction (both new mission/footprint and recapitalization), restoration and modernization, sustainment, and demolition requirements) and incorporating the Marine Corps' Facility Investment Strategy (FIS).
- Provide recommendations of optimal investment strategies to support the infrastructure and installation services portfolios. This analysis will include optimization models implementing known or projected investment goals, scenario planning, and the integration of various budgets, real property, and input data (to include but not limited to inflation, metrics, and factors) to support actionable investment recommendations over the Future Years Defense Program (FYDP).
- Deploy descriptive, predictive and prescriptive infrastructure model into government environment and develop training materials and train government personnel at the Regions/ Installations for use. The following steps outline a Full Enterprise, Readiness Model that meets Full Operational Capability (FOC) to include using advanced analytic software or leverage a Large Language Model (LLM).
- Build prescriptive infrastructure model in the Government (OSD Advana) Cloud Environment.
- 10+ years of experience and BA/BS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study or
- 5+ years of experience and MA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study.
- 20+ years of specialized experience and a BA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study.
- PhD Desired.
- Certified Analytics Professional
- SAS Certified Data Scientist/SAS Certified Professional: AI and Machine Learning/SAS Certified Analytics Professional
- IBM Data Science Professional Certificate
- Or other comparable certification programs through Universities or the commercial sector.
- US Citizenship Required.
- Ability to obtain and maintain a Government Secret Security Clearance.
- Overseas performance and/or travel may be required in Japan, Korea, and/or Guam. NOTE: SPOT requirements will require the use of SPOT for approving SOFA status.
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Description
Senior Data Analyst
Req ID v1.0
HazeGrayCyber, LLC is focused on delivering Cyber Security and Zero Trust Solutions to the US National Defense community and our allies and partners.
This position will provide Information and Task Management Support to MCICOM, G-9, and the Marine Corps.
Location: Performance will take place at both the Government's facility and the contractor's facility. Travel will be required to conduct on-site IA tasks at Marine Corps Regions/Installations.
Responsibilities
Uses analytical tools and techniques to extract meaningful insights from data. Identifies relevant data sources, performs data cleansing/analysis, develops data models, uses data visualization software to present findings. Specifically working in partnership with a Senior Operations Research Analyst and Senior Data Analyst.
Required Education and Experience
Desired Education and Experience
Desired Certifications
Security
Overseas Performance Requirements
HazeGrayCyber, LLC is an Equal Opportunity Employer with a strong commitment to supporting and retaining a diverse and talented workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
HazeGrayCyber, LLC offers competitive compensation and benefits as well as great long-term career opportunities.
For more information or to apply, visit our website at
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