Weapons Data Analyst - DOE Q Clearance, LANL Onsite

Strategic Management Solutions, LLC.

Los Alamos (NM)

On-site

USD 95,000 - 130,000

Full time

10 days ago
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Job summary

Strategic Management Solutions, LLC (SMSI) seeks a full-time Weapons Data Analyst SME to support LANL in Los Alamos, NM. Active DOE Q clearance and onsite presence 4–5 days/week are required.

The role emphasizes data analysis, manufacturing support, and programmatic data validation within a nuclear/STEM context. The candidate will work with the Gas Transfer Systems Group, applying rigorous data methods to forecast trends, validate processes, and drive evidence-based decisions for critical

Qualifications

  • Minimum 5–10 years of experience in data analysis for weapons or DOE programs.
  • Active DOE Q clearance and US citizenship required.
  • Ability to analyze large datasets and forecast trends.
  • Experience with nuclear or gas transfer systems is a plus.

Responsibilities

  • Provide data support to manufacturing and engineering to drive data-driven decisions.
  • Develop technical knowledge of gas transfer system engineering for data validation.
  • Create new methods to address reporting and analyses of key criteria.
  • Coordinate with personnel to resolve production issues.
  • Support multiple technical projects.
  • Research, develop, review historical procedures as needed.
  • Adhere to hazard-controlled facilities and safety requirements.

Skills

Data analysis
DOE experience
Weapons data
Root cause analysis
Documentation
Attention to detail
Manufacturing knowledge
US Citizen
DOE Q clearance

Education

Bachelor's degree in a related field
Master's degree or advanced certifications

Job description

Strategic Management Solutions, LLC (SMSI) seeks a full-time Weapons Data Analyst SME to support LANL in Los Alamos, NM. Active DOE Q clearance and onsite presence 4–5 days/week are required.

The role emphasizes data analysis, manufacturing support, and programmatic data validation within a nuclear/STEM context. The candidate will work with the Gas Transfer Systems Group, applying rigorous data methods to forecast trends, validate processes, and drive evidence-based decisions for critical

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