Top Senior Analysis Reporting Jobs in Baltimore, MD

Lead and mentor a data engineering team to design and maintain scalable data pipelines, storage, and ETL processes. Oversee projects, collaborate cross-functionally, and engage clients on data migration and integration. Implement agentic LLM-driven workflows to automate data investigation, mapping, and transformation while ensuring data integrity, scalability, and availability.

Design, build, and maintain scalable ETL pipelines and data architecture (data lakes, lakehouses, warehouses) in AWS. Optimize performance, ensure data quality, security and compliance, prepare data for modeling, monitor systems, troubleshoot issues, document processes, and mentor junior data engineers while collaborating with stakeholders.

Design, develop, and maintain Power BI dashboards and data aggregations. Automate workflows with Power Automate and SharePoint. Collaborate with stakeholders to define requirements, track project milestones for government programs, and produce technical documentation and ad-hoc analyses to support decision-making.

Design, build, and optimize scalable GCP data pipelines and ingestion frameworks, develop BigQuery semantic layers and ELT/ETL workflows, implement automation, observability, and CI/CD, support data governance and quality, mentor engineers, and partner with stakeholders to deliver enterprise healthcare analytics solutions.

Design, build, deploy, and maintain scalable data pipelines and platforms. Lead cross-functional teams to implement ETL/ELT workflows, develop and troubleshoot Palantir Foundry transformations and ontologies, convert diverse data formats via scripting, monitor and operate data platforms to support analytics and mission-driven projects.

Lead complex analyses of large healthcare datasets to evaluate growth opportunities, measure test-and-learn results, build dashboards and automated reports, enable self-service analytics, and present actionable insights and recommendations to stakeholders to drive pharmacy prescriptions and immunizations growth.

Design, build, test, and operationalize data pipelines and solutions using cloud technologies. Ensure data quality, governance, and security; analyze sources; resolve defects; collaborate across teams; support AI/ML and BI use cases; and document and educate users on data products.

Perform complex analytical and mathematical analyses to solve problems and support decision-making. May lead or supervise small teams of operations analysts, brief government/client personnel, and conduct advanced data analytics for defense-related projects.

The Senior Solutions Architect will lead the design and optimization of scalable data platforms, focusing on cloud-based environments, big data technologies, and data visualization for federal data analytics initiatives.

Lead implementation of Data Management Program for an assigned business: develop governance, policies, and standards; act as data steward; measure and remediate data quality and risks; promote BI tools; analyze large datasets to deliver business insights; train stakeholders and ensure regulatory and control compliance.