USSTRATCOM Data Analyst

Artemis International Technologies, Inc.
Offutt Air Force Base, NE, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Agile Methodology Data Analysis Big Data Data Cleansing Data Transformation Data Systems R (Programming Language) Python (Programming Language) Machine Learning Open Source Technology Scrum Methodology SQL Databases

Job description

  • 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.

Requirements

  • 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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