Manufacturing Data Analyst & Process Simulation Expert

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 96,600 - 176,000; Full time

Benefits offered by this job

Paid leave

Health insurance

Relocation assistance

Job summary

Los Alamos National Laboratory is seeking STEM professionals to support mission-critical manufacturing operations through advanced analytics, modeling, and decision-support tool development.

The role involves synthesizing production and facility data into meaningful metrics and visualizations, analyzing large datasets, and designing discrete-event simulations to assess changes in schedule, capacity, and infrastructure.

Qualifications

• Experience applying problem-solving techniques to data, results, or simulations.
• Ability to compile and interpret data using statistical concepts and present findings clearly.
• Ability to translate data into effective requirements and planning assumptions.
• Effective written and oral communication skills, including interaction with subject‑matter experts, project customers, and stakeholders.
• Ability to work effectively as part of a multidisciplinary team.

Responsibilities

• Develop decision-support tools that synthesize production and facility data into metrics and visualizations.
• Process, structure, and analyze large and diverse operational datasets.
• Design and implement discrete-event simulation models to evaluate process behavior and effects of changes.
• Integrate analytics and modeling outputs into dashboards and executive reporting products.
• Collaborate with subject‑matter experts to define problem statements, validate assumptions, and ensure analytical rigor.

Skills

Data analysis

Statistical concepts

Communication

Team collaboration

Problem-solving

Education

B.S. in STEM field

Tools

Simio/ExtendSim

CAD/CAM/CAE

MBSE

Job description

Los Alamos National Laboratory is seeking STEM professionals to support mission-critical manufacturing operations through advanced analytics, modeling, and decision-support tool development.

The role involves synthesizing production and facility data into meaningful metrics and visualizations, analyzing large datasets, and designing discrete-event simulations to assess changes in schedule, capacity, and infrastructure.