Security Clearance: Secret

Location: West Bethesda, MD

Job Type: Full-Time

Target Salary Range*: $90,000 - $120,000.

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

Position Overview:

Amatriot is hiring a Qualitative Data Analyst to support digital modernization and readiness efforts at the Naval Surface Warfare Center, Carderock Division. This role supports the Command Digital Office and Office of Technology by analyzing interview and exercise transcripts to extract meaningful insights that inform decisions on readiness, data strategy, and knowledge management.

This is a hands-on analyst role—not a strategy or advisory position—ideal for someone with strong research and analytical skills who can design and carry out qualitative studies.

Key Responsibilities:

• Translate transcript data from exercises or interviews into structured qualitative findings
• Conduct sentiment analysis using Natural Language Processing (NLP) tools
• Apply qualitative research methods, including:
  • Content analysis
  • Narrative and discourse analysis
  • Thematic coding
  • Grounded theory
• Present findings clearly through written reports and visualizations
• Collaborate with existing data management and readiness teams
• Support development of data and knowledge management practices

Qualifications:

• 3-8 years of experience conducting qualitative research or analysis
• Experience working with textual data such as interviews or transcripts
• Proficiency with NLP techniques and tools for sentiment or text analysis
• Familiarity with basic quantitative methods and statistics
• Strong writing and communication skills; able to explain complex findings clearly
• Active Secret clearance
• Ability to obtain Security+ certification within 30 days of hire

Preferred Qualifications:

• Security+ already in hand
• Experience working in or with defense or government organizations
• Experience supporting data or knowledge management initiatives