Top Senior Analysis Reporting Jobs in Baltimore, MD

The role involves designing, building, and maintaining databases, optimizing performance, and developing Oracle packages while collaborating with various stakeholders and teams. It requires a strong background in Oracle technologies and managing database schemas in a fast-paced environment.

The Data Management Specialist 2 is responsible for overseeing data management procedures, ensuring the accessibility of documentation, and coordinating database maintenance for classified and unclassified programs.

As an Intelligence Analyst III, you will support Air Force National Tactical Integration operations, serving as a Subject Matter Expert and enhancing national intelligence effectiveness through planning and policy development.

The EDI Systems Analyst II collaborates with business units to manage EDI requirements, analyze processes, ensure compliance, and communicate project priorities. They lead requirement gathering sessions and improve workflows while partnering with developers.

The Senior Data Engineer will design and implement data pipelines, ensure data quality, and collaborate with stakeholders to advance data initiatives.

Lead portfolio risk analysis for public and private markets, applying risk analytics, preparing reports, and identifying emerging risks.

The Senior Data Engineer will design and maintain scalable data pipelines, lead medium-sized platform projects, and ensure reliability of data systems through monitoring and optimization. Responsibilities include working with cross-functional teams to improve data workflows and participate in incident response.

The role involves leading a systems analysis team for Oracle Cloud ERP in finance operations, ensuring process scalability and compliance, while mentoring team members and driving continuous improvement.

The Data Governance Leader will manage data governance engagements, align business and technical teams, implement governance processes, and coach staff on data stewardship.

This role involves defining data platform standards and integration patterns, mentoring engineers, and maintaining best practices in Azure and Databricks environments. The lead will ensure efficient data management and governance across global teams while advocating for DataOps and CI/CD practices.