Data Analyst (Multiple Levels)

Noblis•McLean, VA

1d•Onsite

About The Position

Noblis is seeking Data Analysts to work in a dynamic mission-oriented environment within McLean, Virginia. A successful data analyst candidate will be responsible for designing and developing methods and processes to consolidate and analyze structured and unstructured data from diverse sources, including big data environments. This role combines traditional data analysis with advanced analytics capabilities to drive organizational decision-making and business performance.

Requirements

Experience developing and maintaining automated scripts, configuration controls, and repeatable database query solutions that enable efficient data discovery and analysis across multiple data sources.
Experience applying statistical modeling, predictive analytics, and spatial-temporal analysis to identify trends and support intelligence operations.
Experience creating data visualizations using tools such as Tableau, Power BI, or Excel to communicate findings to technical and non-technical audiences while integrating all-source intelligence to support mission objectives and informed decision-making.
US Citizenship is required.
Active Top Secret/SCI clearance with Polygraph.

Nice To Haves

Prior experience working with an intelligence community department or agency.
Experience working with National Counterterrorism Center (NCTC) missions, policies, and procedures.
Experience utilizing NCTC systems to support timely, accurate, and mission-focused intelligence products.
Experience supporting continuous mission operations with the ability to support shift differentials.

Responsibilities

Designing and developing methods and processes to collect, consolidate, transform, and analyze structured and unstructured data from diverse sources, including big data environments.
Developing and maintaining automated scripts, configuration controls, database queries, and repeatable analytical solutions to support efficient data discovery and analysis.
Applying statistical modeling, predictive analytics, and spatial-temporal analysis to identify trends, patterns, relationships, and insights in support of intelligence operations.
Integrating data from multiple sources, including all-source intelligence, to develop comprehensive analysis and support mission objectives and informed decision-making.
Developing data visualizations, dashboards, and analytical products using tools such as Tableau, Power BI, and Excel to communicate complex findings to technical and non-technical audiences.
Conducting data quality assessments, identifying gaps and anomalies, and implementing processes to improve the accuracy, consistency, and usability of analytical datasets.
Collaborating with intelligence analysts, technical teams, and mission partners to translate analytical requirements into data-driven solutions and actionable insights.
Supporting continuous mission operations while maintaining awareness of emerging data analytics technologies, tools, and methodologies to improve intelligence production and organizational performance.