Top Data & Analytics Jobs in Baltimore, MD

This role involves developing and maintaining high-performance analytic solutions in a cloud environment, focusing on big data and distributed computing to support a U.S. Government customer.

The Applied Research Mathematician will develop and apply mathematical methods to solve complex problems, involving advanced mathematics and algorithm development.

The Analytic Developer will capture requirements to create analytics solutions, automate data analysis, and support the Integrated Cyber Discovery mission.

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.

The Database Engineer will design and maintain database systems, optimize queries, support data integrity, and implement backup strategies in a mission-critical environment.

Analyze business performance, provide insights, improve processes, participate in continuous improvement projects, and collaborate with cross-functional teams.

The Sr Analyst will analyze and integrate datasets to support commercial strategy, providing tools and insights to leadership teams through data visualization and modeling.

Analyze customer implementation and product usage to identify drivers of adoption, retention, and expansion. Build dashboards, quantify configuration and workflow impacts, surface deployment friction, and partner with Product, Sales, and Customer Success to create evidence-based playbooks and metrics that inform roadmap and go-to-market strategies.

Develop and maintain Python-based data applications and pipelines: fetch data from databases/APIs/files, build Pandas DataFrames/NumPy arrays, write complex SQL and data transformations, handle nested JSON, and collaborate with data science teams to deliver production data platforms.

Remote entry-level Big Data Engineer role building data acquisition and munging pipelines. Requires strong Python3 (NumPy, Pandas), advanced SQL, scalable algorithm and data-structure implementation on distributed clusters, converting code to functional paradigms, and the ability to learn PySpark or Kafka quickly. Product-development, startup experience and real-world pipeline projects preferred.

Lead data-focused Salesforce initiatives: engage stakeholders, assess and map legacy data, define migration and governance strategies, execute migrations using ETL/Data Loader tools, validate data through testing and reconciliation, and support reporting, analytics, and user enablement in Agile environments.

Analyze business processes, gather stakeholder requirements, identify improvement opportunities, and deliver data-driven recommendations. Collaborate with cross-functional teams to ensure solutions align with business goals and support implementation through clear communication and presentations.

Analyze datasets to generate reports and visualizations that inform business decisions. Produce regular reporting, create data visualizations, and work cross-functionally to support data-driven strategies with attention to accuracy.