> Markdown version of [/jobs/ext/4582866-data-analyst-top-secret-cleared](https://www.wearedevelopers.com/jobs/ext/4582866-data-analyst-top-secret-cleared). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Analyst (Top Secret cleared)

- **Company:** Seventh Sense Consulting, LLC
- **Location:** Reston, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Information Systems, Data Governance, Data Integration, Extract Transform Load (ETL), Python (Programming Language), SQL Databases, Tableau (Software), Information Technology, Data Analytics, Data Management
- **Published:** November 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b038128b39f5d630

## About the Role

* Active DoD Top Secret clearance
 * Bachelor's degree in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or related field.
 * 3-5 years of experience in data analysis, BI, or data management.
 * Proficiency in SQL and Python; experience with BI tools such as Tableau.
 * Experience with ETL processes, data integration, and cloud platforms.
 * Strong analytical, communication, and problem-solving skills., * Experience in government, regulated industries, or complex enterprise environments.
 * Background in financial, acquisition, portfolio, or workforce analytics.
 * Familiarity with automation, AI-enabled analytics, and data governance.
 * Experience developing automated reporting solutions and enterprise dashboards.

## Description

* Collect, clean, and analyze data from multiple systems.
 * Develop dashboards, reports, and KPIs using business intelligence tools.
 * Automate data workflows using SQL, Python, and ETL processes.
 * Conduct financial, operational, and workforce analytics to identify trends and support planning.
 * Partner with teams to define data requirements and improve data management practices.
 * Document processes, maintain datasets, and support technology integration initiatives