Top Remote Data & Analytics Jobs in Baltimore, MD

Design, develop, and maintain Python-based analytics and reporting solutions using healthcare data. Build self-service Plotly Dash applications, refactor legacy code, implement cloud-native and CI/CD practices, optimize SQL/data warehouse queries, mentor peers, and monitor production analytics to support business decisions.

The Business Intelligence Analyst develops BI reports, communicates analytical findings, and supports Operations & Revenue Cycle Management through data-driven analyses and insights.

The Senior Data Specialist II manages eDiscovery for litigation, ensuring compliance with ESI specifications and utilizing various document review tools.

The EV Data Analysis Lead will oversee data analysis projects, manage a team of analysts, and develop strategies to enhance transportation data services.

The Sales Analyst supports decision-making through data analysis, reporting, and insights while collaborating on business planning and performance evaluations.

The role involves aggregating and analyzing data to support assessment and roadmap development, while producing analyses for internal and client-facing deliverables.

Design, build, and maintain Snowflake-based pipelines to produce consumer and household identity assets. Write SQL/Python to transform and deduplicate PII, investigate data quality at record level, and improve AI-assisted and rule-based matching engines. Collaborate with Data Science and engineering teams to evaluate matching performance, build evaluation tooling and dashboards, and support CI/CD, QA, and on-call production responsibilities.

Support Practice Success by collecting, analyzing, and reporting operational health data; build dashboards and visuals; maintain project plans and trackers; map processes and identify workflow improvements; coordinate stakeholders and provide day-to-day project support to drive execution.

The Lead Analyst, Customer Analytics role involves aggregating and analyzing data for strategic deliverables, producing detailed analysis, improving internal processes, and executing project timelines.

Design, build, and maintain Snowflake pipelines using Python and SQL to produce identity assets. Investigate record-level PII data quality, enhance AI-assisted and rule-based matching engines, build evaluation and monitoring tooling, collaborate with Data Science and Product, and support CI/CD, QA, and on-call responsibilities for production identity pipelines.

Lead and build a centralized enterprise analytics organization combining clinical, claims, demographic, and operational data to standardize KPIs, create dashboards, develop predictive models, support performance management, enforce data governance, and deliver analytic products for clinical, finance, and operational stakeholders.

High-school intern will clean and organize spreadsheet data, analyze weekly trends, create simple charts, experiment with AI tools to automate tasks, and collaborate with the team to propose workflow improvements.