Data Scientist (Data Analytics Officer) - Sr.

• Develop standardized performance-evaluation methodologies that produce actionable operational insights.
• Integrate and analyze large volumes of diverse intelligence and operational data from multiple sources.
• Assess executor capabilities and performance to identify trends, gaps, anomalies, risks, and optimization opportunities.
• Develop analytical products supporting operational planning, collection management, resource allocation, and decision-making.
• Create metrics, KPIs, scorecards, and performance-measurement frameworks that assess operational effectiveness.
• Build and maintain executive dashboards, data visualizations, recurring reports, and leadership briefings.
• Provide data-driven recommendations for organizing, managing, validating, and cleansing enterprise data.
• Support quarterly and annual reporting, including compilation of operational data for USD(I) or other directed reports.
• Document analytical methods, assumptions, data limitations, quality controls, and findings.
• Coordinate with operational stakeholders, data engineers, tool administrators, and leadership to validate analysis and requirements.

• Senior-level experience in data analytics, operations research, performance measurement, intelligence analysis, or a related discipline.
• Proficiency with Microsoft Excel and one or more analytical platforms such as Tableau, Power BI, R, Python, or statistical software.
• Experience developing metrics, KPIs, dashboards, and performance-measurement frameworks.
• Demonstrated ability to analyze large datasets and identify meaningful trends, patterns, anomalies, and operational implications.
• Strong understanding of CI/HUMINT operations, collection-management processes, or comparable intelligence mission activities.
• Experience producing analytical reports, executive briefings, and recommendations for diverse technical and leadership audiences.
• Excellent analytical judgment, attention to detail, and written and verbal communication skills.

Preferred Qualifications

• Experience supporting DIA, DoD, or Intelligence Community data and operational reporting requirements.
• Knowledge of data governance, data quality, enterprise data ingestion, or cross-domain information environments.

Clearance and Work Requirements

• Active TS/SCI CI Poly and ability to work on-site at the DIA Government SCIF in Reston, Virginia during COR-established working hours.
• Ability to comply with applicable DIA, DoD, Intelligence Community, cybersecurity, records-management, classification, and information-handling requirements.
• Ability to work effectively in a non-personal services environment in which contractor personnel remain accountable to contractor management.

Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity