Senior Data Analyst

HazeGrayCyber

$110K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience and a BA/BS degree in a technical field or 5+ years and an MA/MS degree in a related area.
  • Specialized expertise in databases, data modeling, and SQL is preferred.
  • Desired certifications include various IBM and Google Cloud Data Engineering credentials.
  • Strong analytical and predictive modeling skills, especially using machine learning.
  • Familiarity with advanced analytic software and cloud environments is a plus.

Responsibilities

  • Extract insights using analytical tools from complex datasets.
  • Normalize and analyze data for Marine Corps real property assets.
  • Design and enhance visualizations with tools like Tableau and Python.
  • Conduct predictive analysis for future infrastructure needs.
  • Use operations research and machine learning techniques for trend analysis.
  • Develop investment strategy recommendations based on predictive models.
  • Train government personnel on new infrastructure models and tools.

Benefits

  • Commitment to supporting a diverse and talented workforce.
  • Equal opportunity employer status with a strong non-discrimination policy.
  • Competitive compensation package and benefits for employees.
  • Long-term career growth opportunities available.
  • Support for certifications and professional development.
Full Job Description
Description

Senior Data Analyst

Req ID 001-25 v1.0

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 Scientist:

  • 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
Required Education and Experience
  • 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
Desired Education and Experience
  • 10+ years of specialized experience and a BA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study with expert knowledge of databases, data modeling, and SQL
  • PhD Desired
Desired Certifications
  • IBM Data Engineering Professional Certificate
  • Google Cloud Certification: Cloud Data Engineer Professional Certificate
  • IBM Data Warehouse Engineer Professional Certificate
Security
  • US Citizenship Required
  • Ability to obtain and maintain Government Secret Security Clearance
Overseas Performance Requirements
  • 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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