Data Analyst — DoD Data & ML Lead (Top Secret)

The Garrett Group; Bellevue Second IV Precinct (NE); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401K with company match

PTO

Tuition Reimbursement

Life Insurance

Job summary

The GARRETT GROUP is seeking a Data Analyst to support advanced analytical, data management, and machine learning initiatives in a DoD environment. You will design and implement enterprise-level data collection strategies, manage large datasets, and deliver actionable insights for operational decision-making.

The ideal candidate will have strong Python, R, SQL skills and experience leading analytical projects, collaborating across teams, and communicating findings to stakeholders at all levels.

Qualifications

• Bachelor's degree or higher required in a technical field.
• 7+ years designing and implementing data collection and analysis of large datasets.
• Experience leading analytical or technical projects and cross-functional teams.
• Experience developing, testing, and deploying ML models.

Responsibilities

• Design and manage data collection processes and analyze large datasets.
• Develop machine learning models and analytical products using Python, R, SQL and BI tools.
• Enable decision-making through data visualization, automation, and leadership in Agile teams.
• Communicate complex findings to both technical and senior leadership.

Skills

Python

R

Business Intelligence tools

Data cleaning and wrangling

Education

Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related technical discipline

Tools

SQL

Database concepts

Job description

The GARRETT GROUP is seeking a Data Analyst to support advanced analytical, data management, and machine learning initiatives in a DoD environment. You will design and implement enterprise-level data collection strategies, manage large datasets, and deliver actionable insights for operational decision-making.

The ideal candidate will have strong Python, R, SQL skills and experience leading analytical projects, collaborating across teams, and communicating findings to stakeholders at all levels.