Senior Data Analyst
Role details
Job location
Tech stack
Job description
We are seeking a Data Engineer / Data Analyst to support enterprise-level data initiatives within a highly classified environment. This role sits at the intersection of data engineering, analytics, and visualization, working across large-scale federated data systems to deliver actionable insights. Candidates can be considered at both Journeyman and Senior levels depending on experience., Design, develop, and maintain enterprise data management and database solutions Build and manage data repositories, including database modeling and architecture design Develop and implement ETL pipelines to integrate data from multiple enterprise sources Perform data mapping, transformation, and data mining to support analytical initiatives Analyze enterprise data systems to identify gaps, trends, and optimization opportunities Design and deliver data visualization dashboards, reports, and analytic products Support data collection efforts including surveys, data calls, and enterprise-wide reporting activities Apply statistical methods, machine learning, NLP, and pattern recognition to identify insights Communicate findings clearly through visual, written, and verbal formats Collaborate with cross-functional engineering and data teams to support enterprise solutions
Requirements
Active TS/SCI with CI Polygraph Bachelor's degree with 7+ years of experience OR no degree with 12+ years of relevant experience Strong experience with data analysis, data engineering, and data enrichment Hands-on experience with data visualization and trend analysis Proficiency with tools such as Python, R, SQL, Excel, Access, and VBA Experience using Tableau, Power BI, or similar visualization platforms Ability to gather requirements and provide data-driven insights across large user groups, Experience within the Intelligence Community (IC) (5+ years preferred) Familiarity with Jira and Confluence Experience developing and deploying solutions in cloud environments Exposure to advanced analytics techniques (ML, NLP, large datasets)
What Makes a Strong Candidate
Strong mix of data engineering + analytics + visualization Ability to operate independently in a classified enterprise environment Strong communicator who can translate complex data into actionable insights Comfortable working across large, federated data ecosystems