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SAIC · 4 hours ago

Data Analyst

Washington, DC

Full-time

Hybrid

Senior Level, Lead/Staff

$80K/yr - $120K/yr

8+ years exp

SAIC is seeking a Data Analyst to join the Machine-assisted Analytic Rapid-repository System (MARS) Advanced Development Operations program and provide support to facilitate operations of critical MARS infrastructure and services. The role involves collecting and analyzing large datasets, developing visualizations, and collaborating with stakeholders to deliver actionable insights.

Information TechnologySecurityService IndustrySoftware

Work & Life Balance

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Collects, processes, and performs sophisticated statistical analyses on large datasets to support intelligence decision-making within the MARS framework

Develops dashboards and visualizations to present actionable insights to intelligence analysts and decision-makers

Collaborates with multiple stakeholders to understand data needs and provide tailored analytical solutions

Ensures data integrity and accuracy, adhering to security and confidentiality protocols

Utilizes advanced analytical tools and techniques to identify trends, patterns, and anomalies in intelligence data

Continuously refines data analysis processes to enhance the quality and effectiveness of intelligence operations

Qualification

Data analysisStatistical analysisData visualizationDatabase managementData cleaningAdvanced analytical toolsActive TS/SCI with PolygraphCollaborationAttention to detailCommunication skillsProblem-solvingAdaptability

Required

Active TS/SCI with Polygraph

Bachelor's Degree in IT, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering and 10 years or more of related experience; Masters and 8 years or more experience (an additional 4 years of experience will be considered in lieu of degree)

Active Certification CCISO, CISM, CISSP, GSLC, GSEC, or SSCP

Proficiency in analyzing datasets, generating insights, and creating reports to support decision-making processes

Experience in data cleaning, performing statistical analysis, and visualizing data using tools like Tableau or Power BI

Strong understanding of database management and data warehousing concepts