Top Senior Analysis Reporting Jobs in Baltimore, MD

Design, develop, and maintain SSRS and Sigma reports and dashboards; write and optimize SQL; collaborate with data warehouse team; document BI tools; unit test and troubleshoot reports; manage projects independently.

Develop and maintain AWS QuickSight back-end integrations, design and optimize reporting data pipelines, extend BI platforms with new data sources, and improve backend processing for data storytelling and system performance.

The Senior Operations Research Analyst leads advanced analytical efforts, providing expert insights to improve readiness and sustainment in aviation operations.

Lead the maintenance and development of ETL processes for the data warehouse, support analysis and design of new ETL requirements, and recommend enhancements for data cleansing.

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.

The Manual Test Engineer will conduct system and integration testing, develop test plans, analyze software components, and document test results, requiring strong collaboration and communication skills.

The Sr. Special Assets Analyst focuses on data analysis, vendor performance oversight, and quality assessment to improve loan performance and reduce defaults.

As a Senior Financial Planning Strategist, you will provide innovative financial solutions, conduct research, review complex documents, mentor colleagues, and deliver presentations for high-net-worth clients and advisors.

Lead enterprise data architecture and modeling efforts, guide data federation and authoritative sources, collaborate with analytics and implementation teams, and design and implement scalable data solutions while ensuring best practices and stakeholder communication.

The role involves designing, developing, and maintaining MDM and Data Quality solutions while ensuring data accuracy, consistency, and governance across systems. Responsibilities include implementing data quality rules, managing data quality dashboards, and collaborating with various stakeholders to enhance data governance and quality frameworks.