Data Analyst - Mid

AMERICAN SYSTEMSQuantico Base, VA

About The Position

The Data Analyst – Mid supports CD&I by conducting quantitative and qualitative analysis to inform capability development, experimentation, and requirements decisions. The analyst will collect, clean, and interpret data from multiple sources, generate analytic products, and provide insights to support USMC force development and integration initiatives.

Requirements

  • Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Operations Research, Economics, or related field.
  • 3–7 years of experience performing data analysis or business intelligence, preferably in a DoD/USMC environment.
  • Proficiency with common data analysis and visualization tools (e.g., Excel with advanced functions, SQL, Tableau/Power BI, or equivalent).
  • Ability to work with structured and semi-structured data and conduct basic statistical analysis.
  • Strong written and verbal communication skills, including the ability to translate analytic results into operationally relevant insights.
  • Active TS/SCI Clearance

Nice To Haves

  • Experience supporting capability development, JCIDS, or experimentation/analysis within CD&I or similar organizations.
  • Exposure to scripting languages (e.g., Python, R) for data wrangling and analysis.

Responsibilities

  • Acquire, clean, and validate data from operational, experimentation, modeling & simulation, and other enterprise sources.
  • Perform descriptive, diagnostic, and basic predictive analytics to identify trends, relationships, and performance drivers.
  • Develop dashboards, reports, and visualization products to communicate analytic findings to both technical and non-technical stakeholders.
  • Collaborate with operational subject matter experts, data engineers, and data scientists to define requirements and ensure data integrity and analytic relevance.
  • Support the development of metrics, measures of effectiveness (MOE), and measures of performance (MOP) for capability development and experimentation efforts.
  • Document methodologies, assumptions, and limitations to ensure analytic transparency and reproducibility.
  • Support briefings and working groups by providing data-driven insights and responding to ad hoc analytic requests.

Benefits

  • healthcare benefits
  • paid leave
  • retirement plans
  • insurance programs
  • education and training assistance
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