Top Data & Analytics Jobs in Baltimore, MD

Analyze business data, build and maintain business models, provide actionable insights and reports, collaborate with cross-functional teams, monitor performance, and recommend efficiency improvements to support strategic decision-making.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Design, build, and maintain production-scale data systems and web-scale datasets (Spark/Flink) to support personalization ML. Drive dataset/schema design, collaborate with algorithm teams, and improve distributed big-data processing for member experience.

Lead the technical development and automation of enrollment forecasting models, collaborating with various departments to enhance decision-making and forecast accuracy.

Implement, configure, and maintain GA4 and GTM tracking across web platforms. Design and optimize event tracking and measurement frameworks, validate and troubleshoot analytics implementations, and collaborate with engineering, product, and analytics teams to ensure accurate, scalable data collection and reporting.

Define and govern enterprise data architecture, models, canonical and semantic layers, field-level mappings, and data governance. Partner with IT, Data Engineering, Security, and product teams to ensure data quality, lineage, integrations (Boomi), and platform alignment (Salesforce, Snowflake, NetSuite). Lead M&A data activities, perform hands-on data profiling and validation, and drive adoption of enterprise data standards to support analytics, AI, and automation initiatives.

Manage receipt-based data ingestion (OCR, transcription, email, account connections); ensure pipeline stability and data quality; translate business requirements into collection specs; partner with Engineering and Product; manage vendors, forecasting and budgets; produce KPI reporting; and support EU rollout and GDPR-aligned processes.

Design, build, and modernize data solutions in a hybrid cloud environment. Implement ingestion, ELT pipelines, APIs/microservices, streaming and batch processing, data security, unit tests, code reviews, and performance optimizations to support analytics and applications.

Designs, develops, and maintains cloud and on‑prem data solutions for provider master data, roster integrations, contract/network participation tracking, ETL/ELT pipelines, reporting datasets, and dashboards. Provides production support, documentation, data modeling, and stakeholder collaboration to deliver validated analytics and BI products for network management and provider operations.

Partner with channel leadership to own performance reporting, dashboards, and scorecards; analyze KPIs, identify risks and opportunities, deliver data-driven insights, support forecasting, target-setting, and compensation measurement, and drive continuous improvement and reporting automation across the assigned sales channel.

Builds and manages ETL processes and data pipelines in Azure Databricks using PySpark. Integrates data from multiple sources, tunes Spark and SQL for performance, troubleshoots pipeline failures, automates manual processes, and supports reporting and analytics to inform business decisions.