Cleared Onsite Data Analyst (5035)

ESSWashington, DC
Onsite

About The Position

SMX is seeking a Top Secret-cleared Data Analyst to join a high-impact federal analytics program supporting mission-critical operations. This role is ideal for candidates with experience in data, intelligence, or analytical roles who are looking to grow into modern data engineering and AI-enabled analytics. You will work alongside a collaborative team delivering scalable data solutions while gaining hands-on experience with cloud platforms, modern data pipelines, and AI-assisted development tools. SMX provides team members with access to AI-powered development tools (e.g., Claude and similar technologies) to accelerate coding, data processing, and analytics workflows—helping you work more efficiently and build next-generation skills.

Requirements

  • Active Top Secret clearance (required)
  • 1–3 years of experience in data analysis, intelligence analysis
  • Working knowledge of SQL or data querying tools
  • Familiarity with at least one BI/analytics platform such as Strategy, ThoughtSpot, Tableau, Power BI, or similar tools
  • Familiarity with data processing, reporting, or analytics workflows
  • Ability to learn new tools and technologies in a fast-paced environment

Nice To Haves

  • Bachelor’s degree in a related field (e.g., Statistics, Mathematics, Computer Science, Business Analytics)
  • Exposure to ETL tools (Airflow, AWS Glue, Informatica, etc.)
  • Familiarity with AWS or other cloud platforms
  • Experience supporting federal or national security programs

Responsibilities

  • Support the development and maintenance of data pipelines and data processing workflows
  • Write and optimize SQL queries to support data analysis and reporting needs
  • Develop dashboards, reports, and data visualizations to support decision-making
  • Engage with stakeholders to gather requirements and translate business needs into data solutions
  • Collaborate with analysts, engineers, and stakeholders across the program
  • Contribute to cloud-based data environments (AWS preferred)
  • Perform data validation, testing, and troubleshooting to ensure data quality and reliability
  • Document workflows and support continuous improvement of data processes

Benefits

  • health insurance
  • paid leave
  • retirement
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