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# Data Analsyst (TS/SCI)

- **Company:** FEDERAL STAFFING SOLUTIONS INC.
- **Location:** Springfield, MO, United States
- **Salary:** $80,000.0 - $102,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Microsoft Windows, Data Analysis, Software Applications, Databases, Data Files, Data Mining, Data Visualization, SPSS (Software), MATLAB, Microsoft Office, Operational Data Store, SAS (Software), Tableau (Software), Enterprise Software Applications
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-analsyst-ts-sci-springfield-mo--ed35fa60-9c49-44ff-939b-65013fe852a0

## About the Role

Sensitive Compartmented Information (SCI), Top Secret Clearance, Data Analysis, Customer Support/Service, Top Secret Clearance, Sensitive Compartmented Information (SCI), Business Analysis, Data Mining, Data Sets, Market Segmentation, * Familiarity with MS Office, data mining, ability to develop and manipulate, and maintain databases.

 * Demonstrated experience using COTS statistical software (SPSS, SAS, MatLab ), COTS desktop software (MS Office and Access), and the Windows operating environment.
 * Demonstrated experience with software packages used for advanced statistical analysis of operational data and tools for data visualization (Tableau).
 * Ability to develop mathematical algorithms and applications in response to complex requirements.
 * Ability to identify systems enhancements and new capabilities, concept demonstrators, capability business cases.
 * Ability to provide training as new systems and capabilities move into operational use.
 * Ability to take leadership roles on technical teams or consortiums.
 * Demonstrates good oral and written communication skills, along with good interpersonal skills and an ability to work cooperatively and effectively as a team member.

Desired Qualifications:

 * Experience working with/on certification programs and policy development.

## Description

* Apply business analytics and customer segmentation and use data mining for structured and unstructured information to join and explore relationships in disparate data sets.
 * Apply advanced analytics capabilities to derive insights from a combination of unstructured, semi-structured, and structured data.
 * Maintain, move, and manipulates data between applications, using appropriate software.
 * Identify systems enhancements and new capabilities, concept demonstrators, capability business cases.
 * Provide training as new systems and capabilities move into operational use.
 * Represent the GPC Program on technical teams or consortiums.