Top Remote Data & Analytics Jobs in Baltimore, MD

Manage client-facing data and analytics projects: define data strategy, build automation and ETL, develop visualizations and predictive analytics, drive transformation, manage scope/budget, and communicate findings to non-technical stakeholders while leveraging finance knowledge.

Design, develop, and optimize Microsoft SQL Server data solutions and ETL pipelines. Build complex T-SQL queries, stored procedures, views, and performance optimizations. Ensure data quality, translate requirements into technical implementations, document logic, support production, and collaborate with delivery, engineering, and client teams.

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.

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.

Lead and build a measurement function from scratch: design infrastructure, write SQL and dashboards, define reporting playbooks, drive early insights, set pre-sale success metrics, own first- and third-party data, productize measurement as revenue, and hire and scale a technical measurement pod.

Provide technical and administrative support to leadership: monitor sprints and Scrum synchronizations, perform technical research, write Python scripts for automation and API testing, manage and report data using advanced Excel, and prepare meeting summaries and cross-functional coordination.

Lead analytics and insights for the CFO and exec team: produce executive-ready analyses, design scalable analytics infrastructure, leverage AI to accelerate workflows, partner cross-functionally to drive strategy and execution, and manage multiple high-impact initiatives.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

Support the Engineering team by assisting with data ingestion, transformation, and pipeline development; perform exploratory data analysis and visualizations; build/query SQL databases; contribute to codebases using Git; document pipelines and findings; complete well-scoped software tasks under mentorship.

Lead analytics strategy for federal programs: perform statistical modeling, forecasting, and data mining; build dashboards and automated workflows; ensure NIST/FISMA compliance and data quality; present findings to government stakeholders; mentor junior analysts and manage analytics workstreams.