Statistical Data Analyst

Leidos has a new and exciting opportunity for a Statistical Data Analyst in our Intel Sector Analysis Solutions Business Area (ASBA) located in McLean, VA. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.  Join us and make a difference in Analysis Solutions Business Area!  

Job Summary:

We are seeking a self-motivated Statistical Data Analyst with experience employing advanced statistical methods and data visualization tools to uncover patterns and trends to provide technical and analytic support to a small, high-impact team. The role will involve analyzing data, developing predictive models, and collaborating with cross-functional teams.

Responsibilities Include:

• Collaborate with Data Scientists and Intelligence Analysts to build basic statistical models, test hypotheses, and interpret, summarize, visualize, and succinctly report data findings.
• Analyze large, complex data sets to extract meaningful and actionable insights.
• Create compelling data visualizations that effectively communicate complex insights to both technical and non-technical stakeholders.
• Present findings and strategic recommendations to stakeholders in a clear and actionable manner.
• Analyze crime, terrorism, and national security datasets to identify signals and patterns, produce structured threat assessments and Finished Intelligence.
• Field data support requests from Intelligence Analysts and ensure proper data utilization in intelligence products.

Basic Qualifications:

• TS/SCI clearance with Polygraph is required.
• Bachelor’s Degree in a relevant field, such as Statistics, Behavioral or Social Science with 8 – 12 years of relevant experience or a Master’s 6 – 10 years in a relevant field, such as Statistics, Behavioral or Social Science.
• Experience with statistical modeling: Poisson Distribution (or count-based models), time-series or panel/ tabular data, specifically with spatial-temporal dimensions, and Predictive and Regression modeling.
• Demonstrated experience leveraging data visualization tools (e.g., Excel, Tableau or Power BI)
• Knowledge of all-source intelligence, including SIGINT, and/or HUMINT collection reports.
• Familiarity with conveying the results of statistical analysis to both academic and general audiences.

Desired Qualification:

• Experience with R or Python.
• Experience with statistical software tools (e.g., SPSS, STATA, or SAS).
• Familiarity with cable writing styles and classified client databases, including specific targeting tools.
• Experience with producing Finished Intelligence or structured threat assessments.
• Familiarity with key US foreign policy, national security Counterterrorism (CT) and local/federal law enforcement objectives or threat-related datasets.
• Knowledge of IC policies and procedures.

At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.