Top Senior Data & Analytics Jobs in Baltimore, MD

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.

Design and translate business requirements into conceptual, logical, and physical data models. Identify entities, attributes and relationships. Develop data mappings, joins and SQL queries, validate and resolve data issues. Follow SDLC processes, collaborate with project teams, and apply analytical and problem-solving skills. Energy & Utilities domain knowledge is a plus.

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

Provide expert guidance and operational support for journal evaluation, indexing (AGRICOLA/Alma), open access compliance, research impact indicators, training, analytics reporting, and stakeholder coordination to advance research integrity and public access.