Top Senior Analysis Reporting Jobs in Baltimore, MD

Manage and troubleshoot NiFi dataflows and clusters, support Elastic cluster deployment and Kibana dashboards, perform system integration, upgrades, and light Python scripting for large-volume data ingestion and analytics.

Maintain and enhance document repositories and taxonomy for multi-project acquisition programs; ensure data validity, accessibility, and security; implement database standards and procedures; troubleshoot records and application issues; collaborate with users and PMO to respond to information requests.

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.

Design, develop, and optimize large-scale SQL Server databases and T-SQL code. Perform index design and performance tuning, build advanced queries, stored procedures, views and functions. Support SSIS/SSRS ETL and reporting (preferred). Provide technical leadership, collaborate with business analysts and IT, and assist with DBA tasks like replication, backup/restore, clustering, and log-shipping.

Design, build, and maintain ETL/ELT data pipelines and domain-oriented data products to support a Digital Thread. Ensure data quality, governance, mapping, and discoverability. Apply software-engineering practices (version control, testing, CI/CD, IaC) for production deployments. Integrate manufacturing and operational systems and prepare AI/ML-ready datasets for analytics and predictive use cases.

The Data Analyst will evaluate data, define requirements, perform analysis, develop standards, and apply cybersecurity principles while documenting methods.

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

Lead design and implementation of scalable GCP-based data pipelines and semantic layers for enterprise healthcare analytics. Drive ingestion automation, BigQuery optimization, ETL/ELT orchestration, observability, data quality, and metadata management. Provide technical leadership, mentor engineers, and collaborate with architects and stakeholders to deliver production-ready cloud data solutions.

Lead data analysis and architecture efforts for healthcare insurance projects: gather requirements, design source-to-target mappings and data models, enforce enterprise data standards, support data profiling/conversion, and participate in solution planning and estimations. Mentor/train others and translate business drivers into technical requirements across the SDLC.

Perform systems planning analyses, evaluate and model business and system requirements, analyze and document complex business problems, develop and approve test plans, and coordinate moderate-scope upgrades and rollouts to support leadership decision-making and infrastructure.