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USSTRATCOM Data Analyst with Security Clearance

Artemis IncorporatedOffutt AFB, NE🇺🇸United States

Why this role stands out

This hybrid Data Analyst role at Artemis Incorporated offers a fantastic opportunity to leverage your advanced analytical skills and machine learning expertise to drive critical decision-making within a reputable organization. You'll thrive here if you're a proactive leader with a passion for uncovering insights from complex data, collaborating with stakeholders, and developing innovative solutions, all while enjoying the flexibility of a hybrid work environment.

Quick overview

SeniorityMid Senior
Employment typeEmployee
Work modeHybrid
LocationOffutt AFB, NE, United States
Machine LearningAgilePython

Job description

Position: Data Analyst Location: HQ USSTRATCOM/J73 (Assessment Division) Start Date: TBD Minimum Clearance Required: TS-SCI PRIMARY RESPONSIBILITIES • Build and manage structured data systems to ensure accuracy, maintainability, scalability, and secure access. • Execute automated monitoring of intelligence, diplomatic, open-source information, after-action reports, and component inputs and provide analytical insights on global trends, risks, and opportunities. • Create tools and dashboards to support decision-making. • Collaborate in iterative cycles, ensuring analytics deliverables align with evolving requirements and priorities. • Gather input from stakeholders to refine tools, reports, and workflows for improved usability and relevance. • Generate clear, tailored reports and disseminate results across multiple organizational levels to inform strategic decisions. • Apply statistical methods, machine learning, and advanced analytics to identify patterns, generate forecasts, and support data-driven decision-making. • Assess available datasets, identify opportunities, and apply emerging analytical techniques and visualization methods to uncover new insights and enhance decision-making.

REQUIRED EXPERIENCE • At least 7 years of experience designing and implementing data collection strategies, management, and in-depth analysis of large, complex datasets. • Demonstrated ability to lead projects. • Bachelor’s degree or higher. • Expertise in Python, R, Business Intelligence tools and data cleaning and wrangling. • Proficient in Structured Query Language database management. • Familiarity with Agile methodologies, including contributing to sprint planning, backlog grooming, and retrospectives. • Direct experience developing Machine Learning models required.

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