accenturefederalservices · Chantilly, VA
Skills: Python, SQL
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Job Description In this role, you will perform in-depth file & data analysis using statistical and quantitative methods, develop visualizations that support decision-making, and build software tools to monitor and manage data pipeline activities. You will work with a wide range of data formats, apply advanced analytic techniques, and contribute to the development of automated systems that enhance data processing and insight generation. Key Responsibilities • Conduct data analysis using statistical and quantitative approaches. • Create visualizations that communicate trends, patterns, and insights to support decision-making. • Develop software solutions that improve monitoring, automation, and management of data pipeline tasks. • Process and transform complex datasets to produce actionable, data-driven insights. • Perform data manipulation and execute extract, transform, and load (ETL) procedures. • Work with various database technologies, including SQL and NoSQL systems. • Collaborate on projects involving AI/ML technologies and modern data systems. Required Skills & Experience • Experience with AI/ML technologies • Proficiency working with multiple data file types, image file …truncated… io…
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