Top Data & Analytics Jobs in Baltimore, MD

Support Tools and Infrastructure with the Data Analytics team by creating and maintaining Splunk dashboards, writing SPL queries, performing data analysis and processing, and producing polished customer deliverables. Work with customers to define requirements and iterate on feedback; operate in Linux Red Hat environments.

The Data Analyst will provide data analysis and business intelligence services, integrating data across various technologies and communicating with stakeholders to develop insights and solutions.

Administer and develop Oracle Fusion Data Intelligence for HCM/Payroll: build and optimize ADW semantic models, data pipelines, reports/dashboards, manage FDI users/access, coordinate releases, ensure data quality, integrations, governance, and provide documentation and training to stakeholders.

The Senior Business Analyst will gather requirements, perform data analysis, conduct data validation testing, and support data migration projects.

Support Commercial Operations with analyses on pricing, forecasting, and business processes, while maintaining KPI metrics and dashboards.

Lead analytics and reporting for DTC channels, develop dashboards and quality metrics, ensure data integrity, support vendor oversight, and drive performance improvements using data tools and quality processes focused on Medicare sales.

Design, develop, and maintain BI dashboards and reports using Power BI and Oracle Analytics Server. Build data models and ETL processes, optimize SQL queries, gather reporting requirements, tune performance, and troubleshoot issues while communicating with stakeholders to support decision-making.

The Business Analyst will support various projects by analyzing processes, capturing requirements, assisting with research efforts, and creating documents, while adhering to project schedules.

Manage and optimize high-volume data ingestion pipelines using Apache NiFi; administer NiFi clusters; write Python automation; deploy and support scalable data platforms; operate Elasticsearch and Kibana for analytics; work in Linux and containerized environments to ensure reliable, secure mission-critical dataflows.

Lead and mentor a data engineering team to design and maintain scalable data pipelines, storage, and ETL processes. Oversee projects, collaborate cross-functionally, and engage clients on data migration and integration. Implement agentic LLM-driven workflows to automate data investigation, mapping, and transformation while ensuring data integrity, scalability, and availability.