Data Analyst

Bluemont Technology & Research•Bethesda, MD

About The Position

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 suite 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 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 IC.
Hands-on experience with Jira and Confluence.
Experience developing, deploying, and managing applications in a cloud environment.

Responsibilities

design, develop, build, analyze, and evaluate data management systems
database modeling and design
relational database architecture
metadata and repository creation and configuration management
data mapping
data mining
data transformational analysis tools
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 suite client needs
provide data analytic support to design and execute surveys, data calls, and other data gathering processes across a federated network enterprise
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