Data Management and Automation Analyst

Swift • Bethesda, MD

17h

About The Position

For the OPS Consulting team, ‘the power to help’ means helping our clients, helping serve the mission, helping our employees and their families, and helping the community. Headquartered in Hanover, MD. OPS Consulting has over two decades of experience specializing in the most mission-critical operations. We are thought leaders and innovators. The ingenuity of our developers, engineers, cyber experts, linguists, and analysts are dedicated to empowering our clients, fulfilling The Mission, and remaining trusted leaders and advisers in national security and technology solutions. We are seeking a Data Management and Automation Analyst to support data-driven operations and process improvements. This role focuses on managing data repositories, conducting analytics, and implementing system enhancements, including leveraging artificial intelligence to streamline business processes. The ideal candidate has experience working with complex data environments and supporting mission-focused programs.

Requirements

• Bachelor’s degree in Information Systems, Data Science, Computer Science, Database Administration, Information Management, or a related field, and five (5) years of combined experience in: Data repository management and reporting, Data analytics review, Data system improvements
• OR a High School Diploma and ten (10) years of combined experience in the areas listed above.
• US citizenship and an active TS/SCI with Polygraph security clearance required

Nice To Haves

• Master’s degree in Information Systems, Data Science, Computer Science, Database Administration, Information Management, or a related discipline
• Experience leveraging artificial intelligence to improve or automate business processes
• Experience managing datastores within the customer space.

Responsibilities

• Manage and maintain data repositories and datastores to ensure accuracy, integrity, and accessibility
• Perform data analytics reviews to support decision-making and operational insights
• Identify and implement data system improvements to enhance efficiency and performance
• Leverage artificial intelligence and automation tools to streamline business processes
• Collaborate with stakeholders to align data solutions with program objectives
• Ensure data governance, compliance, and best practices are followed

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees