> Markdown version of [/jobs/ext/3782429-data-management-and-automation-analyst](https://www.wearedevelopers.com/jobs/ext/3782429-data-management-and-automation-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Management and Automation Analyst - **Company:** Noblis Inc. - **Location:** Bethesda, MD, United States - **Experience:** Expert - **Salary:** $156,050 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Systems, Data Governance, Data Hub, Data Systems, Information Management, Information Technology, Data Analytics, Data Management - **Published:** October 16, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3451604682&tx=DT10596UYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * US Citizenship is required. * Active TS/SCI with Polygraph. * Bachelor's degree in Information Systems, Data Science, Computer Science, Database Administration, or Information Management with 5 years of combined experience in data management and reporting, analytics, and data system improvements. * High School Diploma with 10 years of combined experience in data management and reporting, analytics, and data system improvements. * Experience in data repository management and reporting, data analytics review, and data system improvements. Travel up to 10% within US. Lift up to 30 lbs, walk, bend, drive. Desired Qualifications * Experience leveraging Artificial Intelligence to streamline business processes. * Experience managing datastores for IC. ## Description Noblis is seeking experienced Data Management and Automation Analyst to work in dynamic mission-oriented environment within Bethesda, Maryland., * Improving operational efficiency by designing and implementing automated workflows that enhance how data is managed, accessed, and maintained. * Streamlining manual processes, reducing redundancy, and ensuring consistency across systems through automation tools and solutions. * Working closely with stakeholders to optimize data handling practices, strengthen data governance, and enable more efficient, reliable information flow in a highly secure and regulated environment.