Top Remote Data & Analytics Jobs in Baltimore, MD

Design, build, and maintain ingestion and transformation pipelines for a knowledge-graph analytics platform. Profile and prepare structured and semi-structured source data, ensure data lineage and traceability, implement transformation logic for graph loading, collaborate with data scientists on graph modeling and entity resolution, improve pipeline reliability, and document ingestion patterns using version control and issue tracking.

Lead analytical support for commercial and sales teams to identify growth opportunities, build advanced reporting and tools (Power BI/Tableau, SQL, Excel), track strategic initiatives, support territory optimization and customer segmentation, develop consumer insights, and provide ad-hoc analysis to drive sales force effectiveness and EBITDA goals.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

Lead analysis of business processes, gather and document requirements, design and implement system solutions, support deployments, and create reports/dashboards. Collaborate with stakeholders and IT to improve systems, provide user training, and perform post-implementation reviews to enhance performance and efficiency.

Owns and codifies business definitions and calculation methods for legal spend analytics, audits legacy Excel/PowerPoint artifacts, validates analyses (SQL and AI), supports reporting and storytelling for senior law department and C-suite audiences, and helps migrate analyses into modern analytics tooling.

Design, build, and maintain advanced Workday reports, dashboards, and analytics to inform workforce planning and talent strategy. Partner with HR, HRIS, IT, and business leaders to define metrics, validate and govern data, perform deep-dive analyses, support Prism integrations, and deliver executive-ready insights, documentation, and training to enable data-driven HR decisions.

Lead enterprise data strategy, architecture, governance, and analytics to create a unified, federated data ecosystem. Build scalable platforms and capabilities, enable self-service BI and advanced analytics, drive AI enablement, steward data governance and quality, and lead change management, talent strategy, and adoption across global teams to support programs, fundraising, and operations.

Design, implement, and maintain dbt/Snowflake ELT transformations to convert raw clinical and multimodal health data into trusted, analysis-ready models; enforce data quality, lineage, testing, CI/CD, and documentation; collaborate with clinical and ML teams to harmonize ontologies and support de-identification and ETL across health systems.

Lead development and execution of measurement and insights strategies for B2B clients. Analyze earned/social/web data, conduct secondary research, build measurement frameworks and dashboards, present strategic recommendations, mentor junior staff, and partner with cross-functional teams to drive campaign performance and business impact.

Design, build, and maintain automation workflows and data pipelines across admissions, education, career services, and billing. Create BI dashboards, ensure data accuracy, manage lightweight databases (e.g., Supabase), and support cross-functional teams to improve operational efficiency and scalability.