Data Analyst Job at Barbaricum, Omaha, NE

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  • Barbaricum
  • Omaha, NE

Job Description

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.

Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join our team.

Barbaricum is seeking a mission-driven Junior Data Analyst to support data-centric projects for a high-visibility government customer. This role is ideal for early-career analysts who are eager to apply data science principles to national security challenges and collaborate across disciplines to surface insights that drive action. The analyst will work with structured and unstructured data, blending analytical techniques with clear communication to enable decision-making at scale.

Core Responsibilities


  • Gather and reformat data from Government-identified primary and secondary sources for human and machine analysis.

  • Use Python-based statistical tools (e.g., NumPy) and GIS tools (e.g., ArcGIS) to analyze datasets and identify trends, patterns, and insights relevant to mission outcomes.

  • Prepare analytical reports that clearly communicate findings to executive leadership in the context of local, national, and global security trends.

  • Collaborate with developers, engineers, and mission stakeholders to recommend system improvements and develop policies for data governance.

  • Document the data analysis process in a way that enables reproducibility and transparency for Government stakeholders.

Qualifications


  • Active DoD TS/SCI clearance.

  • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical field.

  • A certificate in Data Science or Data Engineering may supplement a non-technical degree.

  • At least 1 year of relevant experience applying data analysis principles, including predictive analytics and working with on-prem and cloud-based data systems.

  • Intermediate proficiency with Python, including use of libraries like NumPy or pandas.

  • Familiarity with business intelligence (BI) methodologies, API integrations, and database design.

  • Demonstrated ability to identify trends and build diagnostic or predictive models.

  • Experience preparing data-driven deliverables for non-technical leadership audiences.

  • Experience with ESRI ArcGIS Pro, Survey123, or similar tools.

  • Familiarity with git-based version control systems.

  • Exposure to DevSecOps or analytics development workflows.

EEO Commitment

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Job Tags

Full time, For contractors, Local area,

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