Top Data & Analytics Jobs in Baltimore, MD

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Partner with U100 sales to drive small-business growth by delivering analysis, reports, dashboards, and strategic sales support. Recommend process improvements, correct operational errors, lead projects, train sales on platforms, and support renewals and financial/contract evaluations.

The Forward Deployed Accountant leads the deployment of AI Agents for corporate accounting, trains teams, and ensures proper configuration and documentation of automated workflows.

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

The Target Analyst Reporter 3 prepares intelligence reports using passive and active data collection methods, collaborates with analysts, and maintains quality control on reports for government clients.

Implement and support Informatica ETL solutions, tune mappings and SQL for high-volume data warehouses, handle production issues, build auditing/error-handling frameworks, prepare technical documentation, and collaborate with QA and global teams to define and improve development/support processes.

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

Design, build, and maintain scalable cloud-native data platforms and pipelines (batch, streaming, near-real-time). Implement distributed processing (Spark), event-driven systems (Kafka), governance, security, observability, and support ML/analytics. Partner with cross-functional teams, optimize performance/cost, and mentor engineers while enabling production-grade data products.

Receive, gather, analyze, reconcile, and accurately enter information from multiple sources; maintain case files and track status; prepare reports, documents, and summaries; perform word processing and provide timely status updates; coordinate information requests; support FBI mission requirements while working collaboratively and following procedures and deadlines.