Data Intelligence Analyst

Leidos

1d•$92,300 - $166,850

About The Position

Leidos is seeking a Data Intelligence Analyst to support data-driven decision-making by collecting, analyzing, interpreting, and presenting complex information to identify trends, risks, vulnerabilities, and operational insights. This role combines advanced analytical skills, investigative research, quality assurance auditing, and executive-level communication to support organizational leadership. The ideal candidate is a self-motivated professional who excels in working with large datasets, developing meaningful visualizations, and translating technical findings into actionable recommendations.

Requirements

U.S. Citizenship required
Secret clearance or ability to obtain one
Bachelor's degree in Data Analytics, Business Analytics, Computer Science, Information Systems, Statistics, Criminal Justice, Public Administration, or a related field. Equivalent professional experience may be considered.
Experience analyzing large and complex datasets to identify trends, risks, gaps, and operational insights.
Advanced proficiency in Microsoft Excel, including pivot tables, advanced formulas, data modeling, and analytical functions.
Demonstrated expertise using Microsoft Power BI to create dashboards, visualizations, and interactive reports.
Experience working with databases, government information systems, or other enterprise data repositories.
Knowledge of open-source intelligence (OSINT) research methodologies and publicly available information sources.
Strong technical writing skills with the ability to produce executive summaries, investigative reports, briefing documents, and formal correspondence.
Experience conducting quality assurance reviews, compliance audits, or performance evaluations.
Exceptional analytical, critical thinking, and problem-solving abilities with strong pattern recognition skills.
Excellent verbal and written communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
Proven ability to collaborate effectively across multiple organizational levels and functional areas.
Strong organizational skills with the ability to prioritize multiple assignments and meet deadlines while working independently.
Demonstrated professionalism, integrity, discretion, and sound judgment when handling sensitive information.

Nice To Haves

Experience supporting federal government agencies or regulatory organizations.
Familiarity with aviation, transportation, law enforcement, inspections, investigations, or regulatory compliance programs.
Experience with SQL, Python, R, or other analytical programming languages.
Knowledge of data governance, data quality management, and business intelligence best practices.
Experience with automated reporting tools, workflow applications, or enterprise case management systems.
Experience preparing executive-level briefings for senior government officials.

Responsibilities

Analyze complex datasets to identify trends, gaps, anomalies, risks, and potential integrity concerns through statistical and analytical modeling techniques.
Develop and maintain dashboards, reports, charts, graphs, and other visual products using Microsoft Excel, Power BI, and other analytical tools to communicate findings effectively.
Conduct research using government databases, internal data systems, and open-source intelligence (OSINT) resources to support investigations, operational assessments, and strategic initiatives.
Prepare executive summaries, investigative reports, briefing materials, status reports, and presentations for senior leadership, including executive and Congressional stakeholders.
Perform quality assurance reviews and audits of work products, closed cases, management inquiries, and operational processes to ensure compliance with established policies and standards.
Identify emerging trends, systemic vulnerabilities, and operational risks by connecting information across multiple data sources and organizational functions.
Translate complex technical analyses into clear, concise, and actionable recommendations tailored to audiences ranging from technical staff to executive leadership.
Collaborate with cross-functional teams, program managers, analysts, investigators, and organizational leadership to support strategic initiatives and operational objectives.
Independently manage assigned projects, establish priorities, monitor timelines, and deliver high-quality work with minimal supervision.
Exercise sound judgment when evaluating sensitive information, recognizing anomalies, and determining when issues require escalation to management.
Support continuous process improvement initiatives by identifying opportunities to enhance data quality, reporting capabilities, and operational efficiency.
Ensure the confidentiality, integrity, and appropriate handling of sensitive or restricted information.