Entry-Level Missile Defense Data Analyst - Clearance

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 85,000 - 165,000; Full time

Benefits offered by this job

Education assistance

Retirement plans

Comprehensive benefits

Job summary

Johns Hopkins University Applied Physics Laboratory is seeking a Data Analyst to evaluate system performance and support an analytics team focused on defense systems. You will analyze data to improve combat system design, build automated tools for large data sets, and present findings to sponsors and peers.

The role requires a BS/MS in a related field, strong MATLAB/Python skills, and eligibility for Interim Secret then Secret clearance.

Qualifications

• BS or MS in a science/engineering field.
• Experience programming in MATLAB or Python.
• Demonstrate strong communication skills.
• Citizenship and interim Secret clearance eligibility.
• Ability to work with multi-disciplinary teams.

Responsibilities

• Analyze data to identify improvements to combat system design.
• Build and maintain automated tools for large data sets.
• Drive design features and provide recommendations based on analysis.
• Deliver presentations to sponsors and engineering groups.
• Grow into leadership coordinating internal and external analysis activities.

Skills

MATLAB

Python

Strong communication

Team collaboration

Clearance eligibility

Education

BS or MS in Mathematics/Statistics/Engineering/Physics/CS/Data Science or related field

Job description

Johns Hopkins University Applied Physics Laboratory is seeking a Data Analyst to evaluate system performance and support an analytics team focused on defense systems. You will analyze data to improve combat system design, build automated tools for large data sets, and present findings to sponsors and peers.

The role requires a BS/MS in a related field, strong MATLAB/Python skills, and eligibility for Interim Secret then Secret clearance.