Top Remote Data & Analytics Jobs in Baltimore, MD

Lead analytics strategy and delivery for healthcare clients: gather reporting requirements, design and build enterprise data platforms (Databricks/lakehouse), develop and validate reports (including Epic reporting), influence decentralized data teams, and provide post-implementation support and modernization.

Own end-to-end client data migrations: reverse-engineer legacy ETL, design and build Airflow DAGs and Spark jobs, validate and reconcile data at scale, document architecture and decisions, and coordinate cross-functional teams through go-live and hypercare.

Act as a strategic partner to Revenue Operations by analyzing performance, building executive dashboards and reports, improving CRM data quality and governance, supporting forecasting and pipeline management, and designing scalable processes and automations to increase efficiency and revenue visibility.

Build, maintain, and monitor ETL/ELT pipelines in the Microsoft Fabric ecosystem. Implement medallion architecture, transform raw data into analytics-ready models, ensure pipeline reliability and data quality, troubleshoot failures, optimize performance, and support CI/CD and version control for data artifacts.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.

Entry-level role supporting data governance and privacy activities: documentation, GDPR support, data quality assessments, control testing, metadata/cataloging, lineage mapping, reporting, stakeholder communications, and training coordination.

Lead a team to manage end-to-end claims data conversion, mapping, validation, and integration into enterprise systems for client onboarding. Oversee multiple concurrent projects, liaise with stakeholders, troubleshoot complex data issues, translate business requirements to technical solutions, and implement process improvements to improve scalability and data quality.

Build and maintain BI dashboards and reports, optimize and write advanced SQL for large datasets, create analytical database objects and data models, validate data accuracy, document metric logic, and collaborate with cross-functional teams to deliver reliable, performant reporting solutions.

Provide analytics, automation, and reporting to support compliance testing and monitoring. Collect, validate, reconcile, and analyze large data populations; develop repeatable testing routines, dashboards, and automated solutions; support sampling, exception analysis, reporting, and stakeholder requests to identify trends, risks, and remediation status.

Senior technical and business leader who defines analytics vision and architecture, builds scalable cloud data platforms and pipelines, drives AI/ML and self-service analytics, ensures governance and HIPAA compliance, and leads a multidisciplinary analytics team to deliver executive dashboards and data products that improve physician and revenue-cycle performance.