Top Senior Data & Analytics Jobs in Baltimore, MD

The Senior Relativity Archiving Analyst will vet and archive Relativity workspaces and file shares, collaborating with management and documenting processes.

Senior Addepar data engineer/analyst responsible for supporting and scaling Addepar integrations, building and maintaining data pipelines (Addepar↔Snowflake/Canoe/other platforms), diagnosing and resolving data quality issues, developing SQL-based reconciliations and automation, partnering with business and technology stakeholders, and supporting production operations, governance, testing, and documentation for wealth and asset management data.

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

Design, build, and optimize cloud-native batch and streaming data pipelines using Python and PySpark; lead SQL Server to PostgreSQL migrations; implement Terraform-managed AWS infrastructure; perform performance and cost optimization; develop data quality and monitoring frameworks; apply software engineering best practices and provide production support via an on-call rotation.

Lead design, implementation, and operation of a scalable, secure cloud data platform (data lake/warehouse/lakehouse). Build data pipelines, migrations, archival, IaC provisioning, CDC-enabled ingestion, governance, multi-tenant security, DR/HA, and performance optimization to support reporting, analytics, and AI/ML for a federal judiciary modernization program.

Lead finance-focused data and analytics initiatives: build scalable data models and Power BI dashboards, develop a Finance AI roadmap, analyze margin/utilization drivers, support profitability and pricing strategies, and deliver executive-ready insights partnering with FP&A, Operations, IT and senior leadership.

Design, develop, validate and maintain enterprise Power BI dashboards, reports and datasets. Translate business needs into technical specifications, optimize SQL, perform source data analysis and data modeling, and collaborate with subject matter experts to deliver BI solutions. Ensure data quality, security settings, and adherence to project methodology.

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.

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.

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