Data Analyst

Accenture Federal Services•Arlington, TX

19d

About The Position

At Accenture Federal Services, our mission is to help the US federal government strengthen the nation, enhance safety, and improve citizens' lives. Our team of over 13,000 professionals is dedicated to leveraging technology and innovation for clients across defense, national security, public safety, civilian, and military health organizations. As a technology company within the global Accenture network, Accenture Federal Services is recognized as a Glassdoor Top 100 Best Place to Work. We foster a collaborative and supportive community where employees feel a sense of belonging and are empowered to grow through hands-on experience, certifications, and industry training. Join us to drive meaningful change and advance government missions.

Requirements

Bachelor’s degree (or 4 years of additional equivalent experience) in IT, Cybersecurity, Computer Science, Information Systems, Data Science, Software Engineering, or related field
Knowledge of data analysis, visualization, and/or report development for large-scale environments
Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required, depending on position

Responsibilities

Use client 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, and 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, integrating data from various sources to uncover correlations and forecast future needs.
Validate data accuracy, document processes, and 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, and stay current with advancements in analytics techniques and technologies, bringing innovative approaches to their work.