Top Analysis Reporting Jobs in Baltimore, MD

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.

Manage and administer Greenplum databases, ensuring performance, availability, and security. Collaborate with teams for architectural design and system upgrades.

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.

Agap Technologies Inc. offers online Data Science training, providing real-time instruction, interview training, and support for OPT applications with a professional environment.

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.

Design and guide implementation of a Data Lake solution using Exadata and Oracle Data Integrator. Collaborate with functional and data teams, assess requirements, produce design documents, recommend architecture/process improvements, manage build phase, and ensure code quality. Requires strong relational database knowledge and communication skills.

The Senior Data Conversion Lead will transform complex legacy data for retirement benefits, ensuring client data integrations and championing process innovations.