Data Analyst

Avalore, LLC•Arlington, VA

13h•$85,000 - $184,000•Onsite

About The Position

The Data Analyst will use Advana platform data to identify trends, patterns, and actionable insights supporting mission objectives and system improvements. They will work with stakeholders to define analytical requirements, ensure data quality and governance compliance, and develop methodologies for data collection, analysis, and visualization. Responsibilities include creating reports, dashboards, and metrics to monitor performance, costs, usage, and customer satisfaction. They will perform advanced data analysis using statistical methods, data mining, and predictive analytics, integrating data from various sources to uncover correlations and forecast future needs. The Data Analyst will validate data accuracy, document processes, and provide insights to support data-driven decision-making. They will collaborate with technical teams to optimize data systems, implement improvements, and develop reusable analytical components. Additionally, they will evaluate and implement tools, train users on analytics capabilities, and stay current with advancements in analytics techniques and technologies, bringing innovative approaches to their work.

Requirements

SECRET Security Clearance Required
GSEC, SSCP, or Security+ certification (for Junior/Journeyman roles)
CCISO, CISM, CISSP, or GSLC certification (for Senior roles)
Bachelor's Degree
Good communication skills
Self-starter mindset
Professional proficiency in English is required.
Demonstrated proficiency in using all Microsoft Office applications.
Currently authorized to work in the United States on a full-time basis.

Responsibilities

Use Advana platform data to identify trends, patterns, and actionable insights supporting mission objectives and system improvements.
Work with stakeholders to define analytical requirements.
Ensure data quality and governance compliance.
Develop methodologies for data collection, analysis, and visualization.
Create reports, dashboards, and metrics to monitor performance, costs, usage, and customer satisfaction.
Perform advanced data analysis using statistical methods, data mining, and predictive analytics.
Integrate data from various sources to uncover correlations and forecast future needs.
Validate data accuracy and document processes.
Provide insights to support data-driven decision-making.
Collaborate with technical teams to optimize data systems, implement improvements, and develop reusable analytical components.
Evaluate and implement tools.
Train users on analytics capabilities.
Stay current with advancements in analytics techniques and technologies, bringing innovative approaches to their work.