Data Analyst

Moseley Technical Services, Inc.•Huntsville, AL

20h•Onsite

About The Position

Seeking an experienced Data Analyst or Systems Engineer to support advanced DoD programs through data analysis, modeling, test evaluation, and performance metric development. This role focuses on transforming complex sensor and operational data into actionable insights that support mission objectives and predictive analysis efforts.

Requirements

U.S. Citizenship is required by Federal Law
Active Secret Clearance required
Bachelor’s degree in Engineering or a related STEM discipline
10+ years of related experience in data analysis, systems engineering, or data engineering
Experience working with large structured and unstructured datasets
Knowledge of analytic methodologies, modeling principles, and performance metric development
Working knowledge of DoD and military sensor systems, including radar and EO/IR
Experience programming in one or more of the following: Python, C++, MATLAB, or STK
Proficiency with Linux and Windows operating systems
Experience communicating technical findings to both technical and non-technical stakeholders

Nice To Haves

Experience supporting DoD test operations and execution activities
Experience with Single Integrated Air Picture (SIAP) metrics, tracking accuracy metrics, track filtering, or data association
Programming experience in Python, Unix/Linux, C++, MATLAB, or STK
Knowledge of Link-16, Cooperative Engagement Capability (CEC), or Integrated Battle Command System (IBCS)
Experience with Link-16, the Navy's Cooperative Engagement Capability (CEC) system, or the Army's Integrated Battle Command System
Proactive self-starter capable of finding and solving problems with little guidance, including learning new programming languages as required
DoD Analyst background

Responsibilities

Develop, maintain, and validate analytical toolsets and data models supporting program objectives
Gather, preprocess, clean, and analyze large structured and unstructured datasets
Create and document data definitions, process procedures, tool documentation, and data quality standards
Apply analytic methodologies and quantitative/qualitative techniques to evaluate system and project performance
Develop predictive forecasting, classification, and performance measurement solutions
Support data virtualization and data modeling activities
Write and maintain scripts, code, and analytical tools using languages such as Python, MATLAB, C++, or STK
Generate reports, dashboards, and technical deliverables for leadership and stakeholders
Support project testing, test operations, and execution activities