Journeyman Data Analyst

Leidos•Bethesda, MD

About The Position

Leidos has a new and exciting opportunity for a Journeyman Data Analyst our Intel Sector Analysis Solutions Business Area (ASBA). 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! Must have an active TS/SCI Polygraph up front (this is firm). Job Description: Leidos is seeking a Journeyman Data Analyst to support an Intelligence Community (IC) program in Bethesda, MD. An Active TS/SCI with polygraph security clearance is required to be considered for this position. Key Responsibilities Work with teams of data and system engineers to design, develop, build, analyze, and evaluate data management systems to include database modeling and design, relational database architecture, metadata and repository creation and configuration management. Use data mapping, data mining and data transformational analysis tools to design and develop data repositories. Integrate disparate raw data from across the federated enterprise using any supported variation of the Extract, Transform, and Load (ETL) process Analyze enterprise level Services of Common Concern to determine gaps, opportunities, and trends to improve enterprise services Design, build and maintain data visualization dashboards, reports, and other products to suit client needs Provide data analytic support to design and execute surveys, data calls, and other data gathering processes across a federated network enterprise Ability to clearly communicate technical or analytic findings in a easily understood narrative via graphical, written, and verbal formats Use statistical methods, machine learning, natural language processing, large language models, and pattern recognition to identify insights and trends Design and build intuitive dashboards and visualizations to convey analytical outcomes

Requirements

Requires BA/BS and 7+ years of data analysis experience or no degree and 12+ years of data analysis experience.
TS/SCI with Polygraph level clearance is required.
Requires visualization and trend analysis experience.
Requires the ability to elicit information from a broad user base and provide applicable analytic mythologies to provide actionable insights.
Proficiency with multiple data analytic tools like Access, Excel, Python, R, SQL, VBA.
Proficiency in visualizing and presenting data using platforms such as Tableau, Power BI, or equivalent
Requires demonstrated ability with data analysis, data engineering, and data enrichment

Nice To Haves

5 years’ experience within the Intelligence Community
Hands-on experience with Jira and Confluence
Experience developing, deploying, and managing applications in a cloud environment.

Responsibilities

Work with teams of data and system engineers to design, develop, build, analyze, and evaluate data management systems to include database modeling and design, relational database architecture, metadata and repository creation and configuration management.
Use data mapping, data mining and data transformational analysis tools to design and develop data repositories.
Integrate disparate raw data from across the federated enterprise using any supported variation of the Extract, Transform, and Load (ETL) process
Analyze enterprise level Services of Common Concern to determine gaps, opportunities, and trends to improve enterprise services
Design, build and maintain data visualization dashboards, reports, and other products to suit client needs
Provide data analytic support to design and execute surveys, data calls, and other data gathering processes across a federated network enterprise
Ability to clearly communicate technical or analytic findings in a easily understood narrative via graphical, written, and verbal formats
Use statistical methods, machine learning, natural language processing, large language models, and pattern recognition to identify insights and trends
Design and build intuitive dashboards and visualizations to convey analytical outcomes